Author: "Bonvin AMJJ" - Searchworks@Jio Institute Digital Library Search Results

122 results on '"Bonvin AMJJ"'

1. Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop

Author: Sali, A, Berman, HM, Schwede, T, Trewhella, J, Kleywegt, G, Burley, SK, Markley, J, Nakamura, H, Adams, P, Bonvin, AMJJ, Chiu, W, Peraro, MD, Di Maio, F, Ferrin, TE, Grünewald, K, Gutmanas, A, Henderson, R, Hummer, G, Iwasaki, K, Johnson, G, Lawson, CL, Meiler, J, Marti-Renom, MA, Montelione, GT, Nilges, M, Nussinov, R, Patwardhan, A, Rappsilber, J, Read, RJ, Saibil, H, Schröder, GF, Schwieters, CD, Seidel, CAM, Svergun, D, Topf, M, Ulrich, EL, Velankar, S, and Westbrook, JD
Subjects: Biophysics, Biological Sciences, Information and Computing Sciences, Chemical Sciences
Abstract: Structures of biomolecular systems are increasingly computed by integrative modeling that relies on varied types of experimental data and theoretical information. We describe here the proceedings and conclusions from the first wwPDB Hybrid/Integrative Methods Task Force Workshop held at the European Bioinformatics Institute in Hinxton, UK, on October 6 and 7, 2014. At the workshop, experts in various experimental fields of structural biology, experts in integrative modeling and visualization, and experts in data archiving addressed a series of questions central to the future of structural biology. How should integrative models be represented? How should the data and integrative models be validated? What data should be archived? How should the data and models be archived? What information should accompany the publication of integrative models?
Published: 2015

2. Pathogen-sugar interactions revealed by universal saturation transfer analysis

Author: Buchanan, Cj, Gaunt, B, Harrison, Pj, Yang, Y, Liu, J, Khan, A, Giltrap, Am, Le Bas, A, Ward, Pn, Gupta, K, Dumoux, M, Tan, Tk, Schimaski, L, Daga, S, Picchiotti, N, Baldassarri, M, Benetti, E, Fallerini, C, Fava, F, Giliberti, A, Koukos, Pi, Davy, Mj, Lakshminarayanan, A, Xue, X, Papadakis, G, Deimel, Lp, Casablancas-Antràs, V, Claridge, Tdw, Bonvin, Amjj, Settentau, Qj, Furini, S, Gori, M, Huo, J, Owens, Rj, Schaffitzel, C, Berger, I, Renieri, A, GEN-COVID Multicenter Study, Naismith, Jh, Baldwin, Aj, Davis, Bg, and Study, GEN-COVID Multicenter
Subjects: Multidisciplinary, SARS-CoV-2, Cryoelectron Microscopy, Bristol BioDesign Institute, UNCOVER, COVID-19, Genetic Variation, Covid19, Protein Domains, Polysaccharides, Max Planck Bristol, Host-Pathogen Interactions, Spike Glycoprotein, Coronavirus, Sialic Acids, Humans, General, Nuclear Magnetic Resonance, Biomolecular, Protein Binding
Abstract: Many pathogens exploit host cell-surface glycans. However, precise analyses of glycan ligands binding with heavily modified pathogen proteins can be confounded by overlapping sugar signals and/or compounded with known experimental constraints. Universal saturation transfer analysis (uSTA) builds on existing nuclear magnetic resonance spectroscopy to provide an automated workflow for quantitating protein-ligand interactions. uSTA reveals that early-pandemic, B-origin-lineage severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike trimer binds sialoside sugars in an “end-on” manner. uSTA-guided modeling and a high-resolution cryo–electron microscopy structure implicate the spike N-terminal domain (NTD) and confirm end-on binding. This finding rationalizes the effect of NTD mutations that abolish sugar binding in SARS-CoV-2 variants of concern. Together with genetic variance analyses in early pandemic patient cohorts, this binding implicates a sialylated polylactosamine motif found on tetraantennary N-linked glycoproteins deep in the human lung as potentially relevant to virulence and/or zoonosis.
Published: 2022
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3. Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Author: Brown, P, Tan, A-C, El-Esawi, MA, Liehr, T, Blanck, O, Gladue, DP, Almeida, GMF, Cernava, T, Sorzano, CO, Yeung, AWK, Engel, MS, Chandrasekaran, AR, Muth, T, Staege, MS, Daulatabad, SV, Widera, D, Zhang, J, Meule, A, Honjo, K, Pourret, O, Yin, C-C, Zhang, Z, Cascella, M, Flegel, WA, Goodyear, CS, van Raaij, MJ, Bukowy-Bieryllo, Z, Campana, LG, Kurniawan, NA, Lalaouna, D, Huttner, FJ, Ammerman, BA, Ehret, F, Cobine, PA, Tan, E-C, Han, H, Xia, W, McCrum, C, Dings, RPM, Marinello, F, Nilsson, H, Nixon, B, Voskarides, K, Yang, L, Costa, VD, Bengtsson-Palme, J, Bradshaw, W, Grimm, DG, Kumar, N, Martis, E, Prieto, D, Sabnis, SC, Amer, SEDR, Liew, AWC, Perco, P, Rahimi, F, Riva, G, Zhang, C, Devkota, HP, Ogami, K, Basharat, Z, Fierz, W, Siebers, R, Tan, K-H, Boehme, KA, Brenneisen, P, Brown, JAL, Dalrymple, BP, Harvey, DJ, Ng, G, Werten, S, Bleackley, M, Dai, Z, Dhariwal, R, Gelfer, Y, Hartmann, MD, Miotla, P, Tamaian, R, Govender, P, Gurney-Champion, OJ, Kauppila, JH, Zhang, X, Echeverria, N, Subhash, S, Sallmon, H, Tofani, M, Bae, T, Bosch, O, Cuiv, PO, Danchin, A, Diouf, B, Eerola, T, Evangelou, E, Filipp, FV, Klump, H, Kurgan, L, Smith, SS, Terrier, O, Tuttle, N, Ascher, DB, Janga, SC, Schulte, LN, Becker, D, Browngardt, C, Bush, SJ, Gaullier, G, Ide, K, Meseko, C, Werner, GDA, Zaucha, J, Al-Farha, AA, Greenwald, NF, Popoola, SI, Rahman, MS, Xu, J, Yang, SY, Hiroi, N, Alper, OM, Baker, CI, Bitzer, M, Chacko, G, Debrabant, B, Dixon, R, Forano, E, Gilliham, M, Kelly, S, Klempnauer, K-H, Lidbury, BA, Lin, MZ, Lynch, I, Ma, W, Maibach, EW, Mather, DE, Nandakumar, KS, Ohgami, RS, Parchi, P, Tressoldi, P, Xue, Y, Armitage, C, Barraud, P, Chatzitheochari, S, Coelho, LP, Diao, J, Doxey, AC, Gobet, A, Hu, P, Kaiser, S, Mitchell, KM, Salama, MF, Shabalin, IG, Song, H, Stevanovic, D, Yadollahpour, A, Zeng, E, Zinke, K, Alimba, CG, Beyene, TJ, Cao, Z, Chan, SS, Gatchell, M, Kleppe, A, Piotrowski, M, Torga, G, Woldesemayat, AA, Cosacak, MI, Haston, S, Ross, SA, Williams, R, Wong, A, Abramowitz, MK, Effiong, A, Lee, S, Abid, MB, Agarabi, C, Alaux, C, Albrecht, DR, Atkins, GJ, Beck, CR, Bonvin, AMJJ, Bourke, E, Brand, T, Braun, RJ, Bull, JA, Cardoso, P, Carter, D, Delahay, RM, Ducommun, B, Duijf, PHG, Epp, T, Eskelinen, E-L, Fallah, M, Farber, DB, Fernandez-Triana, J, Feyerabend, F, Florio, T, Friebe, M, Furuta, S, Gabrielsen, M, Gruber, J, Grybos, M, Han, Q, Heinrich, M, Helantera, H, Huber, M, Jeltsch, A, Jiang, F, Josse, C, Jurman, G, Kamiya, H, de Keersmaecker, K, Kristiansson, E, de Leeuw, F-E, Li, J, Liang, S, Lopez-Escamez, JA, Lopez-Ruiz, FJ, Marchbank, KJ, Marschalek, R, Martin, CS, Miele, AE, Montagutelli, X, Morcillo, E, Nicoletti, R, Niehof, M, O'Toole, R, Ohtomo, T, Oster, H, Palma, J-A, Paterson, R, Peifer, M, Portilla, M, Portillo, MC, Pritchard, AL, Pusch, S, Raghava, GPS, Roberts, NJ, Ross, K, Schuele, B, Sergeant, K, Shen, J, Stella, A, Sukocheva, O, Uversky, VN, Vanneste, S, Villet, MH, Viveiros, M, Vorholt, JA, Weinstock, C, Yamato, M, Zabetakis, I, Zhao, X, Ziegler, A, Aizat, WM, Atlas, L, Bridges, KM, Chakraborty, S, Deschodt, M, Domingues, HS, Esfahlani, SS, Falk, S, Guisado, JL, Kane, NC, Kueberuwa, G, Lau, CL, Liang, D, Liu, E, Luu, AM, Ma, C, Ma, L, Moyer, R, Norris, AD, Panthee, S, Parsons, JR, Peng, Y, Pinto, IM, Reschke, CR, Sillanpaa, E, Stewart, CJ, Uhle, F, Yang, H, Zhou, K, Zhu, S, Ashry, M, Bergsland, N, Berthold, M, Chen, C-E, Colella, V, Cuypers, M, Eskew, EA, Fan, X, Gajda, M, Gonzalezlez-Prendes, R, Goodin, A, Graham, EB, Groen, EJN, Gutierrez-Sacristan, A, Habes, M, Heffler, E, Higginbottom, DB, Janzen, T, Jayaraman, J, Jibb, LA, Jongen, S, Kinyanjui, T, Koleva-Kolarova, RG, Li, Z, Liu, Y-P, Lund, BA, Lussier, AA, Mier, P, Moore, MD, Nagler, K, Orme, MW, Pearson, JA, Prajapati, AS, Saito, Y, Troder, SE, Uchendu, F, Verloh, N, Voutchkova, DD, Abu-Zaid, A, Bakkach, J, Baumert, P, Dono, M, Hanson, J, Herbelet, S, Hobbs, E, Kulkarni, A, Liu, S, Loft, ND, Reddan, T, Senghore, T, Vindin, H, Xu, H, Bannon, R, Chen, B, Cheung, JTK, Cooper, J, Esnakul, AK, Feghali, KA, Ghelardi, E, Gnasso, A, Horbar, J, Lai, HM, Ma, R, Pan, Z, Peres, MA, Pranata, R, Seow, E, Sydes, M, Testoni, I, Westermair, AL, Yang, Y, Afnan, M, Albiol, J, Albuquerque, LG, Amiya, E, Amorim, RM, An, Q, Andersen, SU, Aplin, JD, Argyropoulos, C, Asmann, YW, Assaeed, AM, Atanasov, AG, Atchison, DA, Avery, SV, Avillach, P, Baade, PD, Backman, L, Badie, C, Baldi, A, Ball, E, Bardot, O, Barnett, AG, Basner, M, Batra, J, Bazanova, OM, Beale, A, Beddoe, T, Bell, ML, Berezikov, E, Berners-Price, S, Bernhardt, P, Berry, E, Bessa, TB, Billington, C, Birch, J, Blakely, RD, Blaskovich, MAT, Blum, R, Boelaert, M, Bogdanos, D, Bosch, C, Bourgoin, T, Bouvard, D, Boykin, LM, Bradley, G, Braun, D, Brownlie, J, Bruhl, A, Burt, A, Butler, LM, Byrareddy, SN, Byrne, HJ, Cabantous, S, Calatayud, S, Candal, E, Carlson, K, Casillas, S, Castelvetro, V, Caswell, PT, Cavalli, G, Cerovsky, V, Chagoyen, M, Chen, C-S, Chen, DF, Chen, H, Chen, J-T, Chen, Y, Cheng, C, Cheng, J, Chinapaw, M, Chinopoulos, C, Cho, WCS, Chong, L, Chowdhury, D, Chwalibog, A, Ciresi, A, Cockcroft, S, Conesa, A, Cook, PA, Cooper, DN, Coqueret, O, Corea, EM, Costa, E, Coupland, C, Crawford, SY, Cruz, AD, Cui, H, Cui, Q, Culver, DC, D'Angiulli, A, Dahms, TES, Daigle, F, Dalgleish, R, Danielsen, HE, Darras, S, Davidson, SM, Day, DA, Degirmenci, V, Demaison, L, Devriendt, K, Ding, J, Dogan, Y, Dong, XC, Donner, CF, Dressick, W, Drevon, CA, Duan, H, Ducho, C, Dumaz, N, Dwarakanath, BS, Ebell, MH, Eisenhardt, S, Elkum, N, Engel, N, Erickson, TB, Fairhead, M, Faville, MJ, Fejzo, MS, Festa, F, Feteira, A, Flood-Page, P, Forsayeth, J, Fox, SA, Franks, SJ, Frentiu, FD, Frilander, MJ, Fu, X, Fujita, S, Galea, I, Galluzzi, L, Gani, F, Ganpule, AP, Garcia-Alix, A, Gedye, K, Giordano, M, Giunta, C, Gleeson, PA, Goarant, C, Gong, H, Gora, D, Gough, MJ, Goyal, R, Graham, KE, Grande-Perez, A, Graves, PM, Greidanus, H, Grice, D, Grunau, C, Gumulya, Y, Guo, Y, Gurevich, VV, Gusev, O, Hacker, E, Hage, SR, Hagen, G, Hahn, S, Haller, DM, Hammerschmidt, S, Han, J, Han, R, Handfield, M, Hapuarachchi, HC, Harder, T, Hardingham, JE, Heck, M, Heers, M, Hew, KF, Higuchi, Y, St Hilaire, C, Hilton, R, Hodzic, E, Hone, A, Hongoh, Y, Hu, G, Huber, HP, Hueso, LE, Huirne, J, Hurt, L, Idborg, H, Ikeo, K, Ingley, E, Jakeman, PM, Jensen, A, Jia, H, Jia, S, Jiang, J, Jiang, X, Jin, Y, Jo, D, Johnson, AM, Johnston, M, Jonscher, KR, Jorens, PG, Jorgensen, JOL, Joubert, JW, Jung, S-H, Junior, AM, Kahan, T, Kamboj, SK, Kang, Y-K, Karamanos, Y, Karp, NA, Kelly, R, Kenna, R, Kennedy, J, Kersten, B, Khalaf, RA, Khalid, JM, Khatlani, T, Khider, T, Kijanka, GS, King, SRB, Kluz, T, Knox, P, Kobayashi, T, Koch, K-W, Kohonen-Corish, MRJ, Kong, X, Konkle-Parker, D, Korpela, KM, Kostrikis, LG, Kraiczy, P, Kratz, H, Krause, G, Krebsbach, PH, Kristensen, SR, Kumari, P, Kunimatsu, A, Kurdak, H, Kwon, YD, Lachat, C, Lagisz, M, Laky, B, Lammerding, J, Lange, M, Larrosa, M, Laslett, AL, LeClair, EE, Lee, K-W, Lee, M-Y, Lee, M-S, Li, G, Lieb, K, Lim, YY, Lindsey, ML, Line, P-D, Liu, D, Liu, F, Liu, H, Lloyd, VK, Lo, T-W, Locci, E, Loidl, J, Lorenzen, J, Lorkowski, S, Lovell, NH, Lu, H, Lu, W, Lu, Z, Luengo, GS, Lundh, L-G, Lysy, PA, Mabb, A, Mack, HG, Mackey, DA, Mahdavi, SR, Maher, P, Maher, T, Maity, SN, Malgrange, B, Mamoulakis, C, Mangoni, AA, Manke, T, Manstead, ASR, Mantalaris, A, Marsal, J, Marschall, H-U, Martin, FL, Martinez-Raga, J, Martinez-Salas, E, Mathieu, D, Matsui, Y, Maza, E, McCutcheon, JE, Mckay, GJ, McMillan, B, McMillan, N, Meads, C, Medina, L, Merrick, BA, Metzger, DW, Meunier, FA, Michaelis, M, Micheau, O, Mihara, H, Mintz, EM, Mizukami, T, Moalic, Y, Mohapatra, DP, Monteiro, A, Montes, M, Moran, JV, Morozov, SY, Mort, M, Murai, N, Murphy, DJ, Murphy, SK, Murray, SA, Naganawa, S, Nammi, S, Nasios, G, Natoli, RM, Nguyen, F, Nicol, C, van Nieuwerburgh, F, Nilsen, EB, Nobile, CJ, O'Mahony, M, Ohlsson, S, Olatunbosun, O, Olofsson, P, Ortiz, A, Ostrikov, K, Otto, S, Outeiro, TF, Ouyang, S, Paganoni, S, Page, A, Palm, C, Paradies, Y, Parsons, MH, Parsons, N, Pascal, P, Paul, E, Peckham, M, Pedemonte, N, Pellizzon, MA, Petrelli, M, Pichugin, A, Pinto, CJC, Plevris, JN, Pollesello, P, Polz, M, Ponti, G, Porcelli, P, Prince, M, Quinn, GP, Quinn, TJ, Ramula, S, Rappsilber, J, Rehfeldt, F, Reiling, JH, Remacle, C, Rezaei, M, Riddick, EW, Ritter, U, Roach, NW, Roberts, DD, Robles, G, Rodrigues, T, Rodriguez, C, Roislien, J, Roobol, MJ, Rowe, JA, Ruepp, A, van Ruitenbeek, J, Rust, P, Saad, S, Sack, GH, Santos, M, Saudemont, A, Sava, G, Schrading, S, Schramm, A, Schreiber, M, Schuler, S, Schymkowitz, J, Sczyrba, A, Seib, KL, Shi, H-P, Shimada, T, Shin, J-S, Shortt, C, Silveyra, P, Skinner, D, Small, I, Smeets, PAM, So, P-W, Solano, F, Sonenshine, DE, Song, J, Southall, T, Speakman, JR, Srinivasan, MV, Stabile, LP, Stasiak, A, Steadman, KJ, Stein, N, Stephens, AW, Stewart, DI, Stine, K, Storlazzi, C, Stoynova, NV, Strzalka, W, Suarez, OM, Sultana, T, Sumant, AV, Summers, MJ, Sun, G, Tacon, P, Tanaka, K, Tang, H, Tanino, Y, Targett-Adams, P, Tayebi, M, Tayyem, R, Tebbe, CC, Telfer, EE, Tempel, W, Teodorczyk-Injeyan, JA, Thijs, G, Thorne, S, Thrift, AG, Tiffon, C, Tinnefeld, P, Tjahjono, DH, Tolle, F, Toth, E, del Tredici, AL, Tsapas, A, Tsirigotis, K, Turak, A, Tzotzos, G, Udo, EE, Utsumi, T, Vaidyanathan, S, Vaillant, M, Valsesia, A, Vandenbroucke, RE, Veiga, FH, Vendrell, M, Vesk, PA, Vickers, P, Victor, VM, Villemur, R, Vohl, M-C, Voolstra, CR, Vuillemin, A, Wakelin, S, Waldron, L, Walsh, LJ, Wang, AY, Wang, F, Wang, Y, Watanabe, Y, Weigert, A, Wen, J-C, Wham, C, White, EP, Wiener, J, Wilharm, G, Wilkinson, S, Willmann, R, Wilson, C, Wirth, B, Wojan, TR, Wolff, M, Wong, BM, Wu, T-W, Wuerbel, H, Xiao, X, Xu, D, Xu, JW, Xue, B, Yalcin, S, Yan, H, Yang, E-C, Yang, S, Yang, W, Ye, Y, Ye, Z-Q, Yli-Kauhaluoma, J, Yoneyama, H, Yu, Y, Yuan, G-C, Yuh, C-H, Zaccolo, M, Zeng, C, Zevnik, B, Zhang, L, Zhang, Y, Zhang, Z-Y, Zhao, Y, Zhou, M, Zuberbier, T, Aanei, CM, Ahmad, R, Al-Lawama, M, Alanio, A, Allardyce, J, Alonso-Caneiro, D, Atack, JM, Baier, D, Bansal, A, Benezeth, Y, Berbesque, C, Berrevoet, F, Biedermann, PHW, Bijleveld, E, Bittner, F, Blombach, F, Van den Bos, W, Boudreau, SA, Bramoweth, AD, Braubach, O, Cai, Y, Campbell, M, Catry, T, Chen, X, Cheng, S, Chung, H-J, Chavez-Fumagalli, MA, Conway, A, Costa, BM, Cyr, N, Dean, LT, Denzel, MS, Dlamini, SV, Dudley, KJ, Dufies, M, Ecke, T, Eckweiler, D, Eixarch, E, El-Adawy, H, Emmrich, JV, Eustace, AJ, Falter-Wagner, CM, Fuss, J, Gao, J, Gill, MR, Gloyn, L, Goggs, R, Govinden, U, Greene, G, Greiff, V, Grundle, DS, Gruneberg, P, Gumede, N, Haore, G, Harrison, P, Hoenner, X, Hojsgaard, D, Hori, H, Ikonomopoulou, MP, Jeurissen, P, Johnson, DM, Kabra, D, Kamagata, K, Karmakar, C, Kasian, O, Kaye, LK, Khan, MM, Kim, Y-M, Kish, JK, Kobold, S, Kohanbash, G, Kohls, G, Kugler, J-M, Kumar, G, Lacy-Colson, J, Latif, A, Lauschke, VM, Li, B, Lim, CJ, Liu, X, Lu, J-J, Lu, Q, Mahavadi, P, Marzocchi, U, McGarrigle, CA, van Meerten, T, Min, R, Moal, I, Molari, M, Molleman, L, Mondal, SR, Van de Mortel, T, Moss, WN, Moultos, OA, Mukherjee, M, Nakayama, K, Narayan, E, Navaratnarajah, Neumann, P-A, Nie, J, Nie, Y, Niemeyer, F, Fiona, Nwaiwu, O, Oldenmenger, WH, Olumayede, E, Ou, J, Pallebage-Gamarallage, M, Pearce, SP, Pelkonen, T, Pelleri, MC, Pereira, JL, Pheko, M, Pinto, KA, Piovesan, A, Pluess, M, Podolsky, IM, Prescott, J, Qi, D, Qi, X, Raikou, VD, Ranft, A, Rhodes, J, Rotge, J-Y, Rowe, AD, Saggar, M, Schuon, RA, Shahid, S, Shalchyan, V, Shirvalkar, P, Shiryayev, O, Singh, J, Smout, MJ, Soares, A, Song, C, Srivastava, K, Srivastava, RK, Sun, J, Szabo, A, Szymanski, W, Tai, CNP, Takeuchi, H, Tanadini-Lang, S, Tang, F, Tao, W, Theron, G, Tian, CF, Tian, Y-S, Tuttle, LM, Valenti, A, Verlot, P, Walker, M, Wang, J, Welter, D, Winslade, M, Wu, D, Wu, Y-R, Xiao, H, Xu, B, Xu, Z, Yang, D, Yang, M, Yankilevich, P, You, Y, Yu, C, Zhan, J, Zhang, G, Zhang, K, Zhang, T, Zhao, G, Zhao, J, Zhou, X, Zhu, Z, Ajani, PA, Anazodo, UC, Bagloee, SA, Bail, K, Bar, I, Bathelt, J, Benkeser, D, Bernier, ML, Blanchard, AM, Boakye, DW, Bonatsos, V, Boon, MH, Bouboulis, G, Bromfield, E, Brown, J, Bul, KCM, Burton, KJ, Butkowski, EG, Carroll, G, Chao, F, Charrier, EE, Chen, Y-C, Chenguang, Choi, JR, Christoffersen, T, Comel, JC, Cosse, C, Cui, Y, van Dessel, P, Dhaval, Diodato, D, Duffey, M, Dutt, A, Egea, LG, El-Said, M, Faye, M, Fernandez-Fernandez, B, Foley, KG, Founou, LL, Fu, F, Gadelkareem, RA, Galimov, E, Garip, G, Gemmill, A, Gouil, Q, Grey, J, Gridneva, Z, Grothe, MJ, Grebert, T, Guerrero, F, Guignard, L, Haenssgen, MJ, Hasler, D, Holgate, JY, Huang, A, Hulse-Kemp, AM, Jean-Quartier, C, Jeon, S-M, Jia, Y, Jutzeler, C, Kalatzis, P, Karim, M, Karsay, K, Keitel, A, Kempe, A, Keown, JR, Khoo, CM, Khwaja, N, Kievit, RA, Kosanic, A, Koutoukidis, DA, Kramer, P, Kumar, D, Kirag, N, Lanza, G, Le, TD, Leem, JW, Leightley, D, Leite, A, 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Zhang, G, Zhang, K, Zhang, T, Zhao, G, Zhao, J, Zhou, X, Zhu, Z, Ajani, PA, Anazodo, UC, Bagloee, SA, Bail, K, Bar, I, Bathelt, J, Benkeser, D, Bernier, ML, Blanchard, AM, Boakye, DW, Bonatsos, V, Boon, MH, Bouboulis, G, Bromfield, E, Brown, J, Bul, KCM, Burton, KJ, Butkowski, EG, Carroll, G, Chao, F, Charrier, EE, Chen, Y-C, Chenguang, Choi, JR, Christoffersen, T, Comel, JC, Cosse, C, Cui, Y, van Dessel, P, Dhaval, Diodato, D, Duffey, M, Dutt, A, Egea, LG, El-Said, M, Faye, M, Fernandez-Fernandez, B, Foley, KG, Founou, LL, Fu, F, Gadelkareem, RA, Galimov, E, Garip, G, Gemmill, A, Gouil, Q, Grey, J, Gridneva, Z, Grothe, MJ, Grebert, T, Guerrero, F, Guignard, L, Haenssgen, MJ, Hasler, D, Holgate, JY, Huang, A, Hulse-Kemp, AM, Jean-Quartier, C, Jeon, S-M, Jia, Y, Jutzeler, C, Kalatzis, P, Karim, M, Karsay, K, Keitel, A, Kempe, A, Keown, JR, Khoo, CM, Khwaja, N, Kievit, RA, Kosanic, A, Koutoukidis, DA, Kramer, P, Kumar, D, Kirag, N, Lanza, G, Le, TD, Leem, JW, Leightley, D, Leite, A, Lercher, L, Li, Y, Lim, R, Lima, LRA, Lin, L, Ling, T, Liu, Y, Liu, Z, Lu, Y, Lum, FM, Luo, H, Machhi, J, Macleod, A, Macwan, I, Madala, HR, Madani, N, de Maio, N, Makowiecki, K, Mallinson, DJ, Margelyte, R, Maria, C, Markonis, Y, Marsili, L, Mavoa, S, McWilliams, L, Megersa, M, Mendes, CSM, Menichetti, J, Mercieca-Bebber, R, Miller, JJ, Minde, D-PM, Minges, A, Mishra, E, Mishra, VR, Moores, C, Morrice, N, Moskalensky, AE, Navarin, N, Negera, E, Nolet, P, Nordberg, A, Norden, R, Nowicki, JP, Olova, N, Olszewski, P, Onzima, R, Pan, C-L, Park, C, Park, DI, Park, S, Patil, CD, Pedro, SA, Perry, SR, Peter, J, Peterson, BM, Pezzuolo, A, Pozdnyakov, I, Qian, S, Qin, L, Rafe, A, Raote, I, Raza, A, Rebl, H, Refai, O, Regan, T, Richa, T, Richardson, MF, Robinson, KR, Rossoni, L, Rouet, R, Safaei, S, Schneeberger, PHH, Schwotzer, D, Sebastian, A, Selinski, J, Seltmann, S, Sha, F, Shalev, N, Shang, J-L, Singer, J, Singh, M, Smith, T, Solomon-Moore, E, Song, L, Soraggi, S, Stanley, R, Steckhan, N, Strobl, F, Subissi, L, Supriyanto, I, Surve, CR, Suzuki, T, Syme, C, Sorelius, K, Tang, Y, Tantawy, M, Tennakoon, S, Teseo, S, Toelzer, C, Tomov, N, Tovar, M, Tran, L, Tripathi, S, Tuladhar, AM, Ukubuiwe, AC, Ung, COL, Valgepea, K, Vatanparast, H, Vidal, A, Wang, Q, Watari, R, Webster, R, Wei, J, Wibowo, D, Wingenbach, TSH, Xavier, RM, Xiao, S, Xiong, P, Xu, S, Yao, R, Yao, W, Yin, Q, Zaitsu, M, Zeineb, Z, Zhan, X-Y, Zhang, R, Zhang, W, Zheng, S, Zhou, B, Ahmad, H, Akinwumi, SA, Albery, GF, Alhowimel, A, Ali, J, Alshehri, M, Alsuhaibani, M, Anikin, A, Azubuike, SO, Bach-Mortensen, A, Baltiansky, L, Bartas, M, Belachew, KY, Bhardwaj, V, Binder, K, Bland, NS, Boah, M, Bullen, B, Calabro, GE, Callahan, TJ, Cao, B, Chalmers, K, Chang, W, Che, Z, Chen, ATY, Chen, Z, Choi, Y, Chowdhury, MAK, Christensen, MR, Cooke, RSC, Cottini, M, Covington, NV, Cunningham, C, Delarocque, J, Devos, L, Dhar, AR, Ding, K-F, Dong, K, Dong, Z, Dreyer, N, Ekstrand, C, Fardet, T, Feleke, BE, Feurer, T, Freitas, A, Gao, T, Asefa, NG, Giganti, F, Grabowski, P, Guerra-Mora, JR, Guo, C, Guo, X, Gupta, H, He, S, Heijne, M, Heinemann, S, Hogrebe, A, Huang, Z, Iskander-Rizk, S, Iyer, LM, Jahan, Y, James, AS, Joel, E, Joffroy, B, Jegousse, C, Kambondo, G, Karnati, P, Kaya, C, Ke, A, Kelly, D, Kickert, R, Kidibule, PE, Kieselmann, JP, Kim, HJ, Kitazawa, T, Lamberts, A, Liang, H, Linn, SN, Litfin, T, Liusuo, W, Lygirou, V, Mahato, AK, Mai, Z-M, Major, RW, Mali, S, Mallis, P, Mao, W, Marvin-Dowle, K, Mason, LD, Merideth, B, Merino-Plaza, MJ, Merlaen, B, Messina, R, Mishra, AK, Muhammad, J, Musinguzi, C, Nanou, A, Naqash, A, Nguyen, JT, Nguyen, TTH, Ni, D, Nida, Notcovich, S, Ohst, B, Ollivier, QR, Osses, DF, Peng, X, Plantinga, A, Pulia, M, Rafiq, M, Raman, A, Raucher-Chene, D, Rawski, R, Ray, A, Razak, LA, Rudolf, K, Rusch, P, Sadoine, ML, Schmidt, A, Schurr, R, Searles, S, Sharma, S, Sheehan, B, Shi, C, Shohayeb, B, Sommerlad, A, Strehlow, J, Sun, X, Sundar, R, Taherzadeh, G, Tahir, NDM, Tang, J, Testa, J, Tian, Z, Tingting, Q, Verheijen, GP, Vickstrom, C, Wang, T, Wang, X, Wang, Z, Wei, P, Wilson, A, Wyart, Yassine, A-A, Yousefzadeh, A, Zare, A, Zeng, Z, Zhang, H, Zhou, J, Zhu, D, Adamo, V, Adeyemo, AA, Aggelidou, M, Al-Owaifeer, AM, Al-Riyami, AZ, Alzghari, SK, Andersen, V, Angus, K, Asaduzzaman, M, Asady, H, Ato, D, Bai, X, Baines, RL, Ballantyne, M, Ban, B, Beck, J, Ben-Nafa, W, Black, E, Blancher, A, Blankstein, R, Bodagh, N, Borges, PAV, Brooks, A, Brox-Ponce, J, Brunetti, A, Canham, CD, Carninci, P, Carvajal, R, Chang, SC, Chao, J, Chatterjee, P, Chhatriwalla, AK, Chikowe, I, Chuang, T-J, Collevatti, RG, Valera-Cornejo, DA, Cuenda, A, Dao, M, Dauga, D, Deng, Z, Devkota, K, Doan, LV, Elewa, YHA, Fan, D, Faruk, M, Feifei, S, Ferguson, TS, Fleres, F, Foster, EJ, Foster, CS, Furer, T, Gao, Y, Garcia-Rivera, EJ, Gazdar, A, George, RB, Ghosh, S, Gianchecchi, E, Gleason, JM, Hackshaw, A, Hall, A, Hall, R, Harper, P, Hogg, WE, Huang, G, Hunter, KE, IJzerman, AP, Jesus, C, Jian, G, Lewis, JS, Kanj, SS, Kaur, H, Kheir, F, Kichatova, VS, Kiyani, M, Klein, R, Kovesi, T, Kraschnewski, JL, Kumar, AP, Labutin, D, Lazo-Langner, A, Leclercq, G, Li, M, Li, Q, Li, T, Liao, W-T, Liao, Z-Y, Lin, J, Lizer, J, Lobreglio, G, Lowies, C, Lu, C, Majeed, H, Martin, A, Martinez-Sobrido, L, Meresh, E, Middelveen, M, Mohebbi, A, Mota, J, Mozaheb, Z, Muyaya, L, Nandhakumar, A, Ng, SHX, Obeidat, M, Oh, D-H, Owais, M, Pace-Asciak, P, Panwar, A, Patterson, C, Penagos-Tabaree, F, Pianosi, PT, Pinzi, V, Pridans, C, Psaroulaki, A, Pujala, RK, Pulido-Arjona, L, Qi, P-F, Rahman, P, Rai, NK, Rassaf, T, Refardt, J, Ricciardi, W, Riess, O, Rovas, A, Sacks, FM, Saleh, S, Sampson, C, Schmutz, A, Sepanski, R, Sharma, N, Spearman, P, Subramaniapillai, M, Swali, R, Tan, CM, Tellechea, JI, Thomas, L-M, Tong, X, Veys, R, Vitriol, V, Wang, H-D, Waugh, J, Webb, SA, Williams, BA, Workman, AD, Xiang, T, Xie, L-X, Xu, T, Yang, C, Yoon, JG, Yuan, CM, Zaritsky, A, Zhao, H, Zuckerman, H, Lyu, R, Pullan, W, and Zhou, Y
Published: 2019

4. An enhanced-sampling MD-based protocol for molecular docking

Author: Fabio Pietrucci, Giuliano Malloci, Andrea Basciu, Attilio Vittorio Vargiu, and Bonvin Amjj
Subjects: 0303 health sciences, 010304 chemical physics, Chemistry, In silico, Metadynamics, Druggability, Computational biology, 01 natural sciences, Small molecule, 03 medical and health sciences, Molecular dynamics, Molecular recognition, Docking (molecular), 0103 physical sciences, Binding site, 030304 developmental biology
Abstract: Understanding molecular recognition of proteins by small molecules is key for drug design. Despite the number of experimental structures of ligand-protein complexes keeps growing, the number of available targets remains limited compared to the druggable genome, and structural diversity is generally low, which affects the chemical variance of putative lead compounds. From a computational perspective, molecular docking is widely used to mimic ligand-protein association in silico. Ensemble-docking approaches include flexibility through a set of different conformations of the protein obtained either experimentally or from computer simulations, e.g. molecular dynamics. However, structures prone to host (the correct) ligands are generally poorly sampled by standard molecular dynamics simulations of the apo protein. In order to address this limitation, we introduce a computational approach based on metadynamics simulations (EDES - Ensemble-Docking with Enhanced-sampling of pocket Shape) to generate druggable conformations of proteins only exploiting their apo structures. This is achieved by defining a set of collective variables that effectively sample different shapes of the binding site, ultimately mimicking the steric effect due to ligands to generate holo-like binding site geometries. We assessed the method on two challenging proteins undergoing different extents of conformational changes upon ligand binding. In both cases our protocol generated a significant fraction of structures featuring a low RMSD from the experimental holo conformation. Moreover, ensemble docking calculations using those conformations yielded native-like poses among the top ranked ones for both targets. This proof of concept study paves the route towards an automated workflow to generate druggable conformations of proteins, which should become a precious tool for structure-based drug design.
Published: 2018
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5. Natural Helix 9 Mutants Of Pparγ Differently Affect Its Transcriptional Activity

Author: Broekema, MF, Massink, MPG, Donato, C, De Ligt, J, Schaarschmidt, J, Schooneman, MG, Melchers, D, Gerding, MN, Houtman, R, Bonvin, AMJJ, Majithia, AR, Monajemi, H, Van Haaften, GW, Soeters, MR, and Kalkhoven, E
Abstract: Supplemental data Broekema et al. &nbsp
Published: 2018
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6. Combination of Ambiguous and Unambiguous Data in the Restraint-driven Docking of Flexible Peptides with HADDOCK: The Binding of the Spider Toxin PcTx1 to the Acid Sensing Ion Channel (ASIC) 1a.

Author: Deplazes, E, Davies, J, Bonvin, AMJJ, King, GF, Mark, AE, Deplazes, E, Davies, J, Bonvin, AMJJ, King, GF, and Mark, AE
Abstract: Peptides that bind to ion channels have attracted much interest as potential lead molecules for the development of new drugs and insecticides. However, the structure determination of large peptide-channel complexes using experimental methods is challenging. Thus structural models are often derived from combining experimental information with restraint-driven docking approaches. Using the complex formed by the venom peptide PcTx1 and the acid sensing ion channel (ASIC) 1a as a case study, we have examined the effect of different combinations of restraints and input structures on the statistical likelihood of (a) correctly predicting the structure of the binding interface and (b) the ability to predict which residues are involved in specific pairwise peptide-channel interactions. For this, we have analyzed over 200,000 water-refined docked structures obtained with various amounts and types of restraints of the peptide-channel complex predicted using the docking program HADDOCK. We found that increasing the number of restraints or even the use of pairwise interaction data resulted in only a modest improvement in the likelihood of finding a structure within a given accuracy. This suggests that shape complementarity and the force field make a large contribution to the accuracy of the predicted structure. The results also showed that there are large variations in the accuracy of the predicted structure depending on the precise combination of residues used as restraints. Finally, we reflect on the limitations of relying on geometric criteria such as root-mean square deviations to assess the accuracy of docking procedures. We propose that in addition to currently used measures, the likelihood of finding a structure within a given level of accuracy should be also used to evaluate docking methods.
Published: 2016

7. ZADDOCK: incorporating ab initio search into HADDOCK

Author: BORDOGNA, ANNALISA, BONATI, LAURA, Bonvin, AMJJ, Bordogna, A, Bonati, L, and Bonvin, A
Subjects: CHIM/02 - CHIMICA FISICA, Protein interaction, protein-protein docking
Abstract: The formation of stable or transient protein-protein complexes plays a fundamental role in the majority of cellular processes. However, the structures of protein complexes are generally difficult to obtain via experimental methods, therefore computational approaches able to predict the reciprocal orientation of the interacting macromolecules and their interactions are becoming more and more useful. Protein-protein docking is one of the most used methods in this field, but still has some limitations, among them the impossibility to fully sample the conformational space of the complexes. Two strategies are mainly used to overcome this problem: treat the partners as rigid bodies or use restraints to limit the regions of the proteins to be sampled as interface. Here we present a new protein-protein docking strategy, ZADDOCK, that combines two docking methods, each using one of the two strategies, aimed at summing their strengths and limiting their drawbacks. As a first step, ZADDOCK employs the ZDOCK FFT-algorithm[1,2] to perform a rigid-body sampling of the conformational space of the complex. The resulting solutions are ranked with ZRANK,[3] and the best are refined by HADDOCK.[4,5] The latter is done in a two-step procedure consisting of a semi-flexible simulated annealing in torsion angle space, during which both side-chains and backbone at the interface are treated as flexible, followed by a final refinement in explicit solvent. To evaluate this combined approach, ZADDOCK was applied to a docking benchmark[6] composed of more than one hundred different cases. These sample different types of complexes (enzyme/inhibitors, antibody/antigen and others) and represent different levels of docking difficulty,[7] from “rigid” complexes for which none of the components undergoes significant conformational changes upon binding, to more challenging cases, for which the binding causes large conformational changes. Our results showed that the performance of this method is on average better or comparable to the performance of both ZDOCK+ZRANK and HADDOCK (in its “ab initio” mode) and does not depend on the type of complexes considered. In particular, very good results were obtained for those complexes that undergo minor conformational changes during the binding process. Moreover, the native contacts are better reproduced than was observed with ZDOCK. This indicates that ZADDOCK combines the strengths of ZDOCK and HADDOCK in its ability to almost fully sample the relative orientations of the two partners and to optimize the structure of a complex in a physically-based way.
Published: 2010

8. Kinetics and thermodynamics of type VIII beta-turn formation: A CD, NMR, and microsecond explicit molecular dynamics study of the GDNP tetrapeptide

Author: Fuchs, PFJ, Bonvin, AMJJ, Bochicchio, B, Pepe, A, Alix, AJP, Tamburro, AM, NMR-spectroscopie, and Sub NMR Spectroscopy
Subjects: Hairpin formation, Conformational-analysis, Folding dynamics, Aqueous-solution, Taverne, Designed peptides, Free-energy, Protein flexibility, Structural-characterization, Circular-dichroism, Chemical-shifts
Abstract: We report an experimental and theoretical study on type VIII beta-turn using a designed peptide of sequence GDNP. CD and NMR studies reveal that this peptide exists in equilibrium between type VIII beta-turn and extended conformations. Extensive MD simulations give a description of the free energy landscape of the peptide in which we retrieve the same two main conformations suggested by the experiments. The free energy difference between the two conformational states is very small and the transition between them occurs within a few kT at 300 K on a nanosecond timescale. The equilibrium is mainly driven by entropic contribution, which favors extended conformations over beta-turns. This confirms other theoretical studies showing that beta-turns are marginally stable in water solution because of the larger entropy of the extended state unless some stabilizing interactions exist. Our observations may be extended to any type of beta-turn and have important consequences for protein folding. A comparison of our MD and CD results also suggests a possible type VIII beta-turn CD signature indicated by one main band at 200 nm, close to that of random coil, and a fairly large shoulder at 220 nm. Last, our results clearly show that the XXXP motif can only fold into a type VIII beta-turn, which is consistent with its fairly strong propensity for this type of turn. This important finding may help for peptide design and is in line with recent studies on bioactive elastin peptides.
Published: 2006

9. The α-to-β Conformational Transition of Alzheimer’s Aβ-(1–42) Peptide in Aqueous Media is Reversible: A Step by Step Conformational Analysis Suggests the Location of β Conformation Seeding: A step by step conformational analysis suggests the location of beta conformation seeding

Author: Tomaselli, S, Esposito, V, Vangone, P, van Nuland, NAJ, Bonvin, AMJJ, Guerrini, R, Tancredi, T, Temussi, PA, Picone, Delia, Sub NMR Spectroscopy, and NMR-spectroscopie
Subjects: NMR spectroscopy, Taverne, Fibrils, Alzheimer's disease, Circular dichroism, Molecular dynamics
Abstract: Current views of the role of beta-amyloid (A beta) peptide fibrils range from regarding them as the cause of Alzheimer's pathology to having a protective function. In the last few years, it has also been suggested that soluble oligomers might be the most important toxic species. In all cases, the study of the conformational properties of A beta peptides in soluble form constitutes a basic approach to the design of molecules with "antiamyloid" activity. We have experimentally investigated the conformational path that can lead the A beta-(1-42) peptide from the native state, which is represented by an alpha helix embedded in the membrane, to the final state in the amyloid fibrils, which is characterized by beta-sheet structures. The conformational steps were monitored by using CD and NMR spectroscopy in media of varying polarities. This was achieved by changing the composition of water and hexafluoroisopropanol (HFIP). In the presence of HFIP beta conformations can be observed in solutions that have very high water content (up to 999,6 water; v/v). These can be turned back to alpha helices simply by adding the appropriate amount of HFIP. The transition of A beta-(1-42) from alpha to beta conformations occurs when the amount of water is higher than 80% (v/v). The NMR structure solved in HFIP/H2O with high water content showed that on going from very apolar to polar environments, the long N-terminal helix is essentially retained, whereas the shorter C-terminal helix is lost. The complete conformational path was investigated in detail with the aid of molecular-dynamics simulations in explicit solvent, which led to the localization of residues that might seed beta conformations. The structures obtained might help to find regions that are more affected by environmental conditions in vivo. This could in turn aid the design of molecules able to inhibit fibril deposition or revert oligomerization processes.
Published: 2006

10. Defining the limits of homology modeling in information-driven protein docking

Author: Rodrigues, J, Melquiond, A, Karaca, E, Trellet, M, van Dijk, M, van Zundert, G, Schmitz, C, de Vries, S, Bordogna, A, Bonati, L, Kastritis, P, Bonvin, A, Rodrigues, JPGLM, Melquiond, ASJ, van Zundert, GCP, de Vries, SJ, Kastritis, PL, Bonvin, AMJJ, BONATI, LAURA, Rodrigues, J, Melquiond, A, Karaca, E, Trellet, M, van Dijk, M, van Zundert, G, Schmitz, C, de Vries, S, Bordogna, A, Bonati, L, Kastritis, P, Bonvin, A, Rodrigues, JPGLM, Melquiond, ASJ, van Zundert, GCP, de Vries, SJ, Kastritis, PL, Bonvin, AMJJ, and BONATI, LAURA
Abstract: Information-driven docking is currently one of the most successful approaches to obtain structural models of protein interactions as demonstrated in the latest round of CAPRI. While various experimental and computational techniques can be used to retrieve information about the binding mode, the availability of three-dimensional structures of the interacting partners remains a limiting factor. Fortunately, the wealth of structural information gathered by large-scale initiatives allows for homology-based modeling of a significant fraction of the protein universe. Defining the limits of information-driven docking based on such homology models is therefore highly relevant. Here we show, using previous CAPRI targets, that out of a variety of measures, the global sequence identity between template and target is a simple but reliable predictor of the achievable quality of the docking models. This indicates that a well-defined overall fold is critical for the interaction. Furthermore, the quality of the data at our disposal to characterize the interaction plays a determinant role in the success of the docking. Given reliable interface information we can obtain acceptable predictions even at low global sequence identity. These results, which define the boundaries between trustworthy and unreliable predictions, should guide both experts and nonexperts in defining the limits of what is achievable by docking. This is highly relevant considering that the fraction of the interactome amenable for docking is only bound to grow as the number of experimentally solved structures increases. Proteins 2013; 81:2119-2128. © 2013 Wiley Periodicals, Inc
Published: 2013

11. Hydration dynamics of the collagen triple helix by NMR

Author: Melacini, G, Bonvin, AMJJ, Goodman, M, Boelens, R, Kaptein, R, Sub NMR Spectroscopy, and NMR-spectroscopie
Subjects: collagen, SPIN DIFFUSION, PROTEINS, FIELD GRADIENT NMR, OFF-RESONANCE ROESY, NMR, WATER-MOLECULES, CROSS-RELAXATION, chemical exchange, AQUEOUS-SOLUTIONS, Taverne, PEPTIDE, EXCHANGE SPECTROSCOPY, hydration, PROTON-EXCHANGE, NOE
Abstract: The hydration of the collagen-like Ac-(Gly-Pro-Hyp)(6)-NH2 triple-helical peptide in solution was investigated using an integrated set of high-resolution NMR hydration experiments, including different recently developed exchange-network editing methods. This approach was designed to explore the hydration dynamics in the proximity of labile groups, such as the hydroxyproline hydroxyl group, and revealed that the first shell of hydration in collagen-like triple helices is kinetically labile with upper Limits for water molecule residence times in the nanosecond to sub-nanosecond range. This result is consistent with a "hopping" hydration model in which solvent molecules are exchanged in and out of solvation sites at a rate that is not directly correlated to the degree of site localization. The hopping model thus reconciles the dynamic view of hydration revealed by NMR with the previously suggested partially ordered semi-clathrate-like cylinder of hydration. Ln addition, the nanosecond to sub-nanosecond upper limits for water molecule residence times imply that hydration-dehydration events are not likely to be the rate-limiting step for triple helix self-recognition, complementing previous investigations on water dynamics in collagen fibers. This study has also revealed labile proton features expected to facilitate the characterization of the structure and folding of triple helices in collagen peptides. (C) 2000 Academic Press.
Published: 2000

12. ZADDOCK: incorporating ab initio search into HADDOCK

Author: Bordogna, A, Bonati, L, Bonvin, A, BORDOGNA, ANNALISA, BONATI, LAURA, Bonvin, AMJJ, Bordogna, A, Bonati, L, Bonvin, A, BORDOGNA, ANNALISA, BONATI, LAURA, and Bonvin, AMJJ
Abstract: The formation of stable or transient protein-protein complexes plays a fundamental role in the majority of cellular processes. However, the structures of protein complexes are generally difficult to obtain via experimental methods, therefore computational approaches able to predict the reciprocal orientation of the interacting macromolecules and their interactions are becoming more and more useful. Protein-protein docking is one of the most used methods in this field, but still has some limitations, among them the impossibility to fully sample the conformational space of the complexes. Two strategies are mainly used to overcome this problem: treat the partners as rigid bodies or use restraints to limit the regions of the proteins to be sampled as interface. Here we present a new protein-protein docking strategy, ZADDOCK, that combines two docking methods, each using one of the two strategies, aimed at summing their strengths and limiting their drawbacks. As a first step, ZADDOCK employs the ZDOCK FFT-algorithm[1,2] to perform a rigid-body sampling of the conformational space of the complex. The resulting solutions are ranked with ZRANK,[3] and the best are refined by HADDOCK.[4,5] The latter is done in a two-step procedure consisting of a semi-flexible simulated annealing in torsion angle space, during which both side-chains and backbone at the interface are treated as flexible, followed by a final refinement in explicit solvent. To evaluate this combined approach, ZADDOCK was applied to a docking benchmark[6] composed of more than one hundred different cases. These sample different types of complexes (enzyme/inhibitors, antibody/antigen and others) and represent different levels of docking difficulty,[7] from “rigid” complexes for which none of the components undergoes significant conformational changes upon binding, to more challenging cases, for which the binding causes large conformational changes. Our results showed that the performance of this method is on ave
Published: 2010

13. Kinetics and thermodynamics of type VIII beta-turn formation: A CD, NMR, and microsecond explicit molecular dynamics study of the GDNP tetrapeptide

Author: NMR-spectroscopie, Sub NMR Spectroscopy, Fuchs, PFJ, Bonvin, AMJJ, Bochicchio, B, Pepe, A, Alix, AJP, Tamburro, AM, NMR-spectroscopie, Sub NMR Spectroscopy, Fuchs, PFJ, Bonvin, AMJJ, Bochicchio, B, Pepe, A, Alix, AJP, and Tamburro, AM
Published: 2006

14. BioMagResBank databases DOCR and FRED containing converted and filtered sets of experimental NMR restraints and coordinates from over 500 protein PDB structures

Author: Doreleijers, JF, Nederveen, AJ, Vranken, W, Lin, JD, Bonvin, AMJJ, Kaptein, R, Markley, JL, Ulrich, EL, Doreleijers, JF, Nederveen, AJ, Vranken, W, Lin, JD, Bonvin, AMJJ, Kaptein, R, Markley, JL, and Ulrich, EL
Abstract: We present two new databases of NMR-derived distance and dihedral angle restraints: the Database Of Converted Restraints (DOCR) and the Filtered Restraints Database (FRED). These databases currently correspond to 545 proteins with NMR structures deposited in the Protein Databank (PDB). The criteria for inclusion were that these should be unique, monomeric proteins with author-provided experimental NMR data and coordinates available from the PDB capable of being parsed and prepared in a consistent manner. The Wattos program was used to parse the files, and the CcpNmr FormatConverter program was used to prepare them semi-automatically. New modules, including a new implementation of Aqua in the BioMagResBank (BMRB) software Wattos were used to analyze the sets of distance restraints (DRs) for inconsistencies, redundancies, NOE completeness, classification and violations with respect to the original coordinates. Restraints that could not be associated with a known nomenclature were flagged. The coordinates of hydrogen atoms were recalculated from the positions of heavy atoms to allow for a full restraint analysis. The DOCR database contains restraint and coordinate data that is made consistent with each other and with IUPAC conventions. The FRED database is based on the DOCR data but is filtered for use by test calculation protocols and longitudinal analyses and validations. These two databases are available from websites of the BMRB and the Macromolecular Structure Database (MSD) in various formats: NMR-STAR, CCPN XML, and in formats suitable for direct use in the software packages CNS and CYANA.
Published: 2005

15. Describing partially unfolded states of proteins from sparse NMR Ddata

Author: Fuentes, G, Nederveen, AJ, Kaptein, R, Boelens, R, Bonvin, AMJJ, Fuentes, G, Nederveen, AJ, Kaptein, R, Boelens, R, and Bonvin, AMJJ
Abstract: Proteins involved in signal transduction can usually be present in two states: an inactive and an active (signaling) state. In the case of photoreceptors such as PYP, it has been shown that the signaling state has a large degree of structural and dynamic disorder. Conventional structural NMR approaches present difficulties in describing such partially unfolded states. Owing to the disordered dynamical and transient nature of such states classical NOE-based information, when present, is sparse. Chemical shift changes upon partial unfolding can, however, be easily monitored from HSQC spectra. We show here that such states can be modeled by defining native-like inter-residue contacts for those residues that do not shift significantly upon partial unfolding. The feasibility of this approach is demonstrated using lysozyme as a test case and applied to model the partially unfolded signaling state (pB) of a truncated form of the photoactive yellow protein for which a "classical" NOE-based structure is available for validation. This approach should be generally applicable to systems in which part of the structure remains in a well-defined native-like conformation.
Published: 2005

16. Data-driven docking: HADDOCK's adventures in CAPRI

Author: van Dijk, Aalt-Jan, de Vries, SJ, Dominguez, C, Chen, H, Zhou, HX, Bonvin, AMJJ, van Dijk, Aalt-Jan, de Vries, SJ, Dominguez, C, Chen, H, Zhou, HX, and Bonvin, AMJJ
Abstract: We have shown previously that given high-resolution structures of the unbound molecules, structure determination of protein complexes is possible by including biochemical and/or biophysical data as highly ambiguous distance restraints in a docking approach. We applied this method, implemented in the HADDOCK (High Ambiguity Driven DOCKing) package (Dominguez et al., J Am Chem Soc 2003; 125:1731-1737), to the targets in the fourth and fifth rounds of CAPRI. Here we describe our results and analyze them in detail. Special attention is given to the role of flexibility in our docking method and the way in which this improves the docking results. We describe extensions to our approach that were developed as a direct result of our participation in CAPRI. In addition to experimental information, we also included interface residue predictions from PPISP (Protein-Protein Interaction Site Predictor; Zhou and Shan, Proteins 2001;44:336 -343), a neural network method. Using HADDOCK we were able to generate acceptable structures for 6 of the 8 targets, and to submit at least 1 acceptable structure for 5 of them. Of these 5 submissions, 3 were of medium quality (Targets 10, 11, and 15) and 2 of high quality (Targets 13 and 14). In all cases, predictions were obtained containing at least 40% of the correct epitope at the interface for both ligand and receptor simultaneously. (c) 2005 Wiley-Liss, Inc.
Published: 2005

17. Describing partially unfolded states of proteins from sparse NMR Ddata

Author: Sub NMR Spectroscopy, NMR Spectroscopy 1, NMR-spectroscopie, Fuentes, G, Nederveen, AJ, Kaptein, R, Boelens, R, Bonvin, AMJJ, Sub NMR Spectroscopy, NMR Spectroscopy 1, NMR-spectroscopie, Fuentes, G, Nederveen, AJ, Kaptein, R, Boelens, R, and Bonvin, AMJJ
Published: 2005

18. BioMagResBank databases DOCR and FRED containing converted and filtered sets of experimental NMR restraints and coordinates from over 500 protein PDB structures

Author: NMR Spectroscopy 1, Sub NMR Spectroscopy, NMR-spectroscopie, Doreleijers, JF, Nederveen, AJ, Vranken, W, Lin, JD, Bonvin, AMJJ, Kaptein, R, Markley, JL, Ulrich, EL, NMR Spectroscopy 1, Sub NMR Spectroscopy, NMR-spectroscopie, Doreleijers, JF, Nederveen, AJ, Vranken, W, Lin, JD, Bonvin, AMJJ, Kaptein, R, Markley, JL, and Ulrich, EL
Published: 2005

19. Data-driven docking: HADDOCK's adventures in CAPRI

Author: NMR Spectroscopy 1, Sub Analysis begr. 01-01-2014, NMR-spectroscopie, van Dijk, Aalt-Jan, de Vries, SJ, Dominguez, C, Chen, H, Zhou, HX, Bonvin, AMJJ, NMR Spectroscopy 1, Sub Analysis begr. 01-01-2014, NMR-spectroscopie, van Dijk, Aalt-Jan, de Vries, SJ, Dominguez, C, Chen, H, Zhou, HX, and Bonvin, AMJJ
Published: 2005

20. Hydration dynamics of the collagen triple helix by NMR

Author: Sub NMR Spectroscopy, NMR-spectroscopie, Melacini, G, Bonvin, AMJJ, Goodman, M, Boelens, R, Kaptein, R, Sub NMR Spectroscopy, NMR-spectroscopie, Melacini, G, Bonvin, AMJJ, Goodman, M, Boelens, R, and Kaptein, R
Published: 2000

21. Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Author: Zeineb, Zian, Brown, Peter, Tan, Aik-Choon, El-Esawi, Mohamed A., Liehr, Thomas, Blanck, Oliver, Gladue, Douglas P., Almeida, Gabriel M. F., Cernava, Tomislav, Sorzano, Carlos O., Yeung, Andy W. K., Engel, Michael S., Chandrasekaran, Arun Richard, Muth, Thilo, Staege, Martin S., Daulatabad, Swapna V., Widera, Darius, Zhang, Junpeng, Meule, Adrian, Honjo, Ken, Pourret, Olivier, Yin, Cong-Cong, Zhang, Zhongheng, Cascella, Marco, Flegel, Willy A., Goodyear, Carl S., Raaij, Mark J. van, Bukowy-Bieryllo, Zuzanna, Campana, Luca G., Kurniawan, Nicholas A., Lalaouna, David, Hüttner, Felix J., Ammerman, Brooke A., Ehret, Felix, Cobine, Paul A., Tan, Ene-Choo, Han, Hyemin, Xia, Wenfeng, McCrum, Christopher, Dings, Ruud P. M., Marinello, Francesco, Nilsson, Henrik, Nixon, Brett, Voskarides, Konstantinos, Yang, Long, Costa, Vincent D., Bengtsson-Palme, Johan, Bradshaw, William, Grimm, Dominik G., Kumar, Nitin, Martis, Elvis, Prieto, Daniel, Sabnis, Sandeep C., Amer, Said E. D. R., Liew, Alan W. C., Perco, Paul, Rahimi, Farid, Riva, Giuseppe, Zhang, Chongxing, Devkota, Hari P., Ogami, Koichi, Basharat, Zarrin, Fierz, Walter, Siebers, Robert, Tan, Kok-Hian, Boehme, Karen A., Brenneisen, Peter, Brown, James A. L., Dalrymple, Brian P., Harvey, David J., Ng, Grace, Werten, Sebastiaan, Bleackley, Mark, Dai, Zhanwu, Dhariwal, Raman, Gelfer, Yael, Hartmann, Marcus D., Miotla, Pawel, Tamaian, Radu, Govender, Pragashnie, Gurney-Champion, Oliver J., Kauppila, Joonas H., Zhang, Xiaolei, Echeverría, Natalia, Subhash, Santhilal, Sallmon, Hannes, Tofani, Marco, Bae, Taeok, Bosch, Oliver, Cuív, Páraic O., Danchin, Antoine, Diouf, Barthelemy, Eerola, Tuomas, Evangelou, Evangelos, Filipp, Fabian V., Klump, Hannes, Kurgan, Lukasz, Smith, Simon S., Terrier, Olivier, Tuttle, Neil, Ascher, David B., Janga, Sarath C., Schulte, Leon N., Becker, Daniel, Browngardt, Christopher, Bush, Stephen J., Gaullier, Guillaume, Ide, Kazuki, Meseko, Clement, Werner, Gijsbert D. A., Zaucha, Jan, Al-Farha, Abd A., Greenwald, Noah F., Popoola, Segun I., Rahman, Md Shaifur, Xu, Jialin, Yang, Sunny Y., Hiroi, Noboru, Alper, Ozgul M., Baker, Chris I., Bitzer, Michael, Chacko, George, Debrabant, Birgit, Dixon, Ray, Forano, Evelyne, Gilliham, Matthew, Kelly, Sarah, Klempnauer, Karl-Heinz, Lidbury, Brett A., Lin, Michael Z., Lynch, Iseult, Ma, Wujun, Maibach, Edward W., Mather, Diane E., Nandakumar, Kutty S., Ohgami, Robert S., Parchi, Piero, Tressoldi, Patrizio, Xue, Yu, Armitage, Charles, Barraud, Pierre, Chatzitheochari, Stella, Coelho, Luis P., Diao, Jiajie, Doxey, Andrew C., Hu, Pingzhao, Kaiser, Stefan, Mitchell, Kate M., Salama, Mohamed F., Shabalin, Ivan G., Song, Haijun, Stevanovic, Dejan, Yadollahpour, Ali, Zeng, Erliang, Zinke, Katharina, Alimba, C. 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G., Epp, Trevor, Eskelinen, Eeva-Liisa, Fallah, Mazyar, Farber, Debora B., Fernandez-Triana, Jose, Feyerabend, Frank, Florio, Tullio, Friebe, Michael, Furuta, Saori, Gabrielsen, Mads, Gruber, Jens, Grybos, Malgorzata, Han, Qian, Heinrich, Michael, Helanterä, Heikki, Huber, Michael, Jeltsch, Albert, Jiang, Fan, Josse, Claire, Jurman, Giuseppe, Kamiya, Haruyuki, Keersmaecker, Kim de, Kristiansson, Erik, Leeuw, Frank-Erik de, Li, Jiuyong, Liang, Shide, Lopez-Escamez, Jose A., Lopez-Ruiz, Francisco J., Marchbank, Kevin J., Marschalek, Rolf, Martín, Carmen S., Miele, Adriana E., Montagutelli, Xavier, Morcillo, Esteban, Nicoletti, Rosario, Niehof, Monika, O’Toole, Ronan, Ohtomo, Toshihiko, Oster, Henrik, Palma, Jose-Alberto, Paterson, Russell, Peifer, Mark, Portilla, Maribel, Portillo, M. C., Pritchard, Antonia L., Pusch, Stefan, Raghava, Gajendra P. S., Roberts, Nicola J., Ross, Kehinde, Schuele, Birgitt, Sergeant, Kjell, Shen, Jun, Stella, Alessandro, Sukocheva, Olga, Uversky, Vladimir N., Vanneste, Sven, Villet, Martin H., Viveiros, Miguel, Vorholt, Julia A., Weinstock, Christof, Yamato, Masayuki, Zabetakis, Ioannis, Zhao, Xin, Ziegler, Andreas, Aizat, Wan M., Atlas, Lauren, Bridges, Kristina M., Chakraborty, Sayan, Deschodt, Mieke, Domingues, Helena S., Esfahlani, Shabnam S., Falk, Sebastian, Guisado, J. 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N., Gutiérrez-Sacristán, Alba, Habes, Mohamad, Heffler, Enrico, Higginbottom, Daniel B., Janzen, Thijs, Jayaraman, Jayakumar, Jibb, Lindsay A., Jongen, Stefan, Kinyanjui, Timothy, Koleva-Kolarova, Rositsa G., Li, Zhixiu, Liu, Yu-Peng, Lund, Bjarte A., Lussier, Alexandre A., Ma, Liping, Mier, Pablo, Moore, Matthew D., Nagler, Katja, Orme, Mark W., Pearson, James A., Prajapati, Anilkumar S., Saito, Yu, Tröder, Simon E., Uchendu, Florence, Verloh, Niklas, Voutchkova, Denitza D., Abu-Zaid, Ahmed, Bakkach, Joaira, Baumert, Philipp, Dono, Marcos, Hanson, Jack, Herbelet, Sandrine, Hobbs, Emma, Kulkarni, Ameya, Kumar, Narendra, Liu, Siqi, Loft, Nikolai D., Reddan, Tristan, Senghore, Thomas, Vindin, Howard, Xu, Haotian, Bannon, Ross, Chen, Branson, Cheung, Johnny T. K., Cooper, Jeffrey, Esnakula, Ashwini K., Feghali, Karine A., Ghelardi, Emilia, Gnasso, Agostino, Horbar, Jeffrey, Lai, Hei M., Li, Jian, Ma, Lan, Ma, Ruiyan, Pan, Zihang, Peres, Marco A., Pranata, Raymond, Seow, Esmond, Sydes, Matthew, Testoni, Ines, Westermair, Anna L., Yang, Yongliang, Afnan, Masoud, Albiol, Joan, Albuquerque, Lucia G., Amiya, Eisuke, Amorim, Rogerio M., An, Qianli, Andersen, Stig U., Aplin, John D., Argyropoulos, Christos, Asmann, Yan W., Assaeed, Abdulaziz M., Atanasov, Atanas G., Atchison, David A., Avery, Simon V., Avillach, Paul, Baade, Peter D., Backman, Lars, Badie, Christophe, Baldi, Alfonso, Ball, Elizabeth, Bardot, Olivier, Barnett, Adrian G., Basner, Mathias, Batra, Jyotsna, Bazanova, O. M., Beale, Andrew, Beddoe, Travis, Bell, Melanie L., Berezikov, Eugene, Berners-Price, Sue, Bernhardt, Peter, Berry, Edward, Bessa, Theolis B., Billington, Craig, Birch, John, Blakely, Randy D., Blaskovich, Mark A. T., Blum, Robert, Boelaert, Marleen, Bogdanos, Dimitrios, Bosch, Carles, Bourgoin, Thierry, Bouvard, Daniel, Boykin, Laura M., Bradley, Graeme, Braun, Daniel, Brownlie, Jeremy, Brühl, Albert, Burt, Austin, Butler, Lisa M., Byrareddy, Siddappa N., Byrne, Hugh J., Cabantous, Stephanie, Calatayud, Sara, Candal, Eva, Carlson, Kimberly, Casillas, Sònia, Castelvetro, Valter, Caswell, Patrick T., Cavalli, Giacomo, Cerovsky, Vaclav, Chagoyen, Monica, Chen, Chang-Shi, Chen, Dong F., Chen, Hao, Chen, Hui, Chen, Jui-Tung, Chen, Yinglong, Cheng, Changxiu, Cheng, Jianlin, Chinapaw, Mai, Chinopoulos, Christos, Cho, William C. S., Chong, Lillian, Chowdhury, Debashish, Chwalibog, Andre, Ciresi, A., Cockcroft, Shamshad, Conesa, Ana, Cook, Penny A., Cooper, David N., Coqueret, Olivier, Corea, Enoka M., Costa, Elisio, Coupland, Carol, Crawford, Stephanie Y., Cruz, Aparecido D., Cui, Huijuan, Cui, Qiang, Culver, David C., D’Angiulli, Amedeo, Dahms, Tanya E. S., Daigle, France, Dalgleish, Raymond, Danielsen, Håvard E., Darras, Sébastien, Davidson, Sean M., Day, David A., Degirmenci, Volkan, Demaison, Luc, Devriendt, Koenraad, Ding, Jiandong, Dogan, Yunus, Dong, X. C., Donner, Claudio F., Dressick, Walter, Drevon, Christian A., Duan, Huiling, Ducho, Christian, Dumaz, Nicolas, Dwarakanath, Bilikere S., Ebell, Mark H., Eisenhardt, Steffen, Elkum, Naser, Engel, Nadja, Erickson, Timothy B., Fairhead, Michael, Faville, Marty J., Fejzo, Marlena S., Festa, Fernanda, Feteira, Antonio, Flood-Page, Patrick, Forsayeth, John, Fox, Simon A., Franks, Steven J., Frentiu, Francesca D., Frilander, Mikko J., Fu, Xinmiao, Fujita, Satoshi, Galea, Ian, Galluzzi, Luca, Gani, Federica, Ganpule, Arvind P., García-Alix, Antonio, Gedye, Kristene, Giordano, Maurizio, Giunta, Cecilia, Gleeson, Paul A., Goarant, Cyrille, Gong, Haipeng, Gora, Diop, Gough, Michael J., Goyal, Ravinder, Graham, Kathryn E., Grande-Pérez, Ana, Graves, Patricia M., Greidanus, Harm, Grice, Darren, Grunau, Christoph, Gumulya, Yosephine, Guo, Yabin, Gurevich, Vsevolod V., Gusev, Oleg, Hacker, Elke, Hage, Steffen R., Hagen, Guy, Hahn, Steven, Haller, Dagmar M., Hammerschmidt, Sven, Han, Jianwei, Han, Renzhi, Handfield, Martin, Hapuarachchi, Hapuarachchige C., Harder, Timm, Hardingham, Jennifer E., Heck, Michelle, Heers, Marcel, Hew, Khe F., Higuchi, Yohei, Hilaire, Cynthia St, Hilton, Rachel, Hodzic, Enisa, Hone, Andrew, Hongoh, Yuichi, Hu, Guoku, Huber, Heinz P., Hueso, Luis E., Huirne, Judith, Hurt, Lisa, Idborg, Helena, Ikeo, Kazuho, Ingley, Evan, Jakeman, Philip M., Jensen, Arne, Jia, Hong, Jia, Husen, Jia, Shuqin, Jiang, Jianping, Jiang, Xingyu, Jin, Yi, Jo, Daehyun, Johnson, Andrew M., Johnston, Marie, Jonscher, Karen R., Jorens, Philippe G., Jorgensen, Jens O. 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K., Kobold, Sebastian, Kohanbash, Gary, Kohls, Gregor, Kugler, Jan-Michael, Kumar, Gyanendra, Lacy-Colson, Jon, Latif, Asam, Lauschke, Volker M., Li, Bingling, Lim, Chinten J., Liu, Fang, Liu, Xiaodong, Lu, Jin-Jian, Lu, Qiang, Mahavadi, Poornima, Marzocchi, Ugo, McGarrigle, Christine A., Meerten, Tom van, Min, Rogier, Moal, Iain, Molari, Massimiliano, Molleman, Lucas, Mondal, Saiful R., Mortel, Thea van de, Moss, W. 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A., Lin, Li, Ling, Tong, Liu, Yuchen, Liu, Zhonghua, Lu, Yao, Lum, Fok M., Luo, Hang, Machhi, Jatin, Macleod, Angus, Macwan, Isaac, Madala, Hanumantha R., Madani, Nima, Maio, Nicola de, Makowiecki, Kalina, Mallinson, Daniel J., Margelyte, Ruta, Maria, Caracausi, Markonis, Y., Marsili, Luca, Mavoa, Suzanne, McWilliams, Lorna, Megersa, Moa, Mendes, Caetano S. M., Menichetti, Julia, Mercieca-Bebber, Rebecca, Miller, Jack J., Minde, David-Paul M., Minges, Alexander, Mishra, Eleanor, Mishra, Virendra R., Moores, Carly, Morrice, Nicola, Moskalensky, Alexander E., Navarin, Nicolò, Negera, Edessa, Nolet, Philippe, Nordberg, Ana, Nordén, Rickard, Nowicki, Jessica P., Olova, Nelly, Olszewski, Paweł, Onzima, Robert, Pan, Chih-Long, Park, Charny, Park, Dong Ik, Park, Seyoung, Patil, Chandrashekhar D., Pedro, Sansoa A., Perry, Samuel R., Peter, Jessica, Peterson, Brent M., Pezzuolo, Andrea, Pozdnyakov, Ilya, Qian, Siyu, Qin, Lei, Rafe, Ali, Raote, Ishier, Raza, Ali, Rebl, Henrike, Refai, Osama, Regan, Tim, Richa, Tambi, Richardson, Mark F., Robinson, K. R., Rossoni, Luca, Rouet, Romain, Safaei, Soroush, Schneeberger, Pierre H. H., Schwotzer, Daniela, Sebastian, Agata, Selinski, Jennifer, Seltmann, Stefanie, Sha, Feng, Shalev, Nir, Shang, Jin-Long, Singer, Josef, Singh, Mandeep, Smith, Taylor, Solomon-Moore, Emma, Song, Lijuan, Soraggi, Samuele, Stanley, Ryan, Steckhan, Nico, Strobl, Frederic, Subissi, Lorenzo, Supriyanto, Irwan, Surve, Chinmay R., Suzuki, Tomo, Syme, Caitlin, Sörelius, Karl, Tang, Young, Tantawy, Marwa, Tennakoon, Sumudu, Teseo, Serafino, Toelzer, Christine, Tomov, Nikola, Tovar, Miguel, Tran, Linh, Tripathi, Sushil, Tuladhar, Anil M., Ukubuiwe, Azubuike C., Ung, Carolina O. L., Valgepea, Kaspar, Vatanparast, Hamid, Vidal, Arnau, Wang, Fang, Wang, Qing, Watari, Ricky, Webster, Rebecca, Webster, Ruth, Wei, Junnian, Wibowo, David, Wingenbach, Tanja S. 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M., Tang, Jun, Testa, Jean, Tian, Zhiqi, Tingting, Qian, Verheijen, Geert P., Vickstrom, Casey, Wang, Teng, Wang, Xiaomin, Wang, Zhenxing, Wei, Pan, Wilson, Alex, Wyart, Yassine, Abdul-Amir, Yousefzadeh, Abbas, Zare, Asma, Zeng, Zhen, Zhang, Chengrong, Zhang, Haowen, Zhang, Linxing, Zhang, Tongchuan, Zhang, Weijia, Zhang, Zhe, Zhou, Jianyu, Zhu, Dongjie, Adamo, Vincenzo, Adeyemo, Adebolajo A., Aggelidou, Maria, Al-Owaifeer, Adi M., Al-Riyami, Arwa Z., Alzghari, Saeed K., Andersen, Vibeke, Angus, Kathryn, Asaduzzaman, Muhammad, Asady, Hadi, Ato, Dai, Bai, Xiaoyong, Baines, Rebecca L., Ballantyne, Maghan, Ban, Bo, Beck, Jill, Ben-Nafa, Walid, Black, Emma, Blancher, Antoine, Blankstein, Ron, Bodagh, Neil, Borges, Paulo A. 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A., Williams, Brendan A., Workman, Alan D., Xiang, Tingxiu, Xie, Li-Xin, Xu, Jun, Xu, Taosheng, Yang, Chongjun, Yoon, Jihoon G., Yuan, Christina M., Zaritsky, Arno, Zhang, Yao, Zhao, Haochen, Zuckerman, Hannah, Lyu, Ran, Pullan, Wayne, Zhou, Yaoqi, Gobet, Angélique, Sadoine, Margaux L., Ontwikkelingspsychologie (Psychologie, FMG), British Lung Foundation, Brown, P, Zhou, Y, Tan, A, El-Esawi, M, Liehr, T, Blanck, O, Gladue, D, Almeida, G, Cernava, T, Sorzano, C, Yeung, A, Engel, M, Chandrasekaran, A, Muth, T, Staege, M, Daulatabad, S, Widera, D, Zhang, J, Meule, A, Honjo, K, Pourret, O, Yin, C, Zhang, Z, Cascella, M, Flegel, W, Goodyear, C, van Raaij, M, Bukowy-Bieryllo, Z, Campana, L, Kurniawan, N, Lalaouna, D, Huttner, F, Ammerman, B, Ehret, F, Cobine, P, Tan, E, Han, H, Xia, W, Mccrum, C, Dings, R, Marinello, F, Nilsson, H, Nixon, B, Voskarides, K, Yang, L, Costa, V, Bengtsson-Palme, J, Bradshaw, W, Grimm, D, Kumar, N, Martis, E, Prieto, D, Sabnis, S, Amer, S, Liew, A, Perco, P, 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Subjects: Technology and Engineering, SCIENTIFIC SEARCH, Expert-curated database, Biokemia, solu- ja molekyylibiologia - Biochemistry, cell and molecular biology, Databases, RElevant LIterature SearcH consortium, Medicine and Health Sciences, Biomedical research, benchmarking, Biology, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Settore MED/42 - IGIENE GENERALE E APPLICATA, database, Computer. Automation, Science & Technology, 0804 Data Format, relisch, Scientific research in health sciences, Mathematics and Statistics, litearture search, relisch , database, biomedical research, Biomedical literature, Original Article, RELISH, Mathematical & Computational Biology, RECOMMENDER-SYSTEMS, Life Sciences & Biomedicine, Mathematics, 0807 Library and Information Studies
Abstract: Made available in DSpace on 2020-12-11T01:57:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-10-29 Griffith University Gowonda HPC Cluster Queensland Cyber Infrastructure Foundation Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research. Griffith Univ, Sch Informat & Commun Technol, Gold Coast, Qld 4222, Australia Griffith Univ, Inst Glyc, Gold Coast, Qld 4222, Australia Univ Colorado, Dept Med Med Oncol, Anschutz Med Campus, Denver, CO USA Tanta Univ, Fac Sci, Bot Dept, Tanta, Egypt Friedrich Schiller Univ, Jena Univ Hosp, Inst Human Genet, Jena, Germany Univ Med Ctr Schleswig Holstein, Dept Radiat Oncol, Campus Kiel, Kiel, Germany ARS, USDA, Plum Isl Anim Dis Ctr, Greenport, NY 11944 USA Univ Jyvaskyla, Dept Biol & Environm Sci, Jyvaskyla, Finland Graz Univ Technol, Inst Environm Biotechnol, Graz, Austria CSIC, CNB, Natl Biotechnol Ctr, Dept Macromol Struct, Madrid, Spain Univ Hong Kong, Fac Dent, Oral & Maxillofacial Radiol Appl Oral Sci & Commu, Hong Kong, Peoples R China Univ Kansas, Div Entomol, Biodivers Inst, Lawrence, KS 66045 USA SUNY Albany, RNA Inst, Albany, NY 12222 USA Robert Koch Inst, Dept Methods Dev & Res Infrastruct, Berlin, Germany Martin Luther Univ Halle Wittenberg, Dept Surg & Conservat Pediat & Adolescent Med, Halle, Germany Indiana Univ Purdue Univ, IU Sch Informat & Comp, Dept BioHlth Informat, Indianapolis, IN 46202 USA Univ Reading, Sch Pharm Stem Cell Biol & Regenerat Med, Reading, Berks, England Dali Univ, Sch Engn, Dali City, Yunnan, Peoples R China Univ Hosp Munich LMU, Dept Psychiat & Psychotherapy, Munich, Germany Univ Tsukuba, Fac Life & Environm Sci, Ibaraki, Japan UniLaSalle, Aghyle, Beauvais, France Henry Ford Hlth Syst, Dept Immunol, Detroit, MI USA Zhejiang Univ, Sch Med, Sir Run Run Shaw Hosp, Dept Emergency, Hangzhou 310016, Zhejiang, Peoples R China Ist Nazl Tumori Fdn Pascale IRCCS, Anesthesia & Pain Med, Naples, Italy NIH, Dept Transfus Med, Bethesda, MD USA Univ Glasgow, Inst Infect Immun & Inflammat, Glasgow, Lanark, Scotland Polish Acad Sci, Inst Human Genet, Poznan, Poland Univ Padua, Dept Surg Oncol & Gastroenterol DISCOG, Padua, Italy Eindhoven Univ Technol, Biomed Engn, Eindhoven, Netherlands Univ Strasbourg, IBMC, Strasbourg, France Heidelberg Univ, Dept Gen Visceral & Transplantat Surg, Heidelberg, Germany Univ Notre Dame, Psychol, Notre Dame, IN 46556 USA Harvard Med Sch, Massachusetts Gen Hosp, Radiol & Pathol, Boston, MA 02115 USA Auburn Univ, Dept Biol Sci, Auburn, AL 36849 USA KK Womens & Childrens Hosp, KK Res Ctr, Singapore, Singapore Univ Alabama, Educ Psychol, Tuscaloosa, AL USA UCL, Wellcome EPSRC Ctr Intervent & Surg Sci, London, England Maastricht Univ, Dept Nutr & Movement Sci, Maastricht, Netherlands Univ Arkansas Med Sci, Dept Radiat Oncol, Little Rock, AR 72205 USA Univ Padua, Dept Land Environm Agr & Forestry, Padua, Italy Univ Gothenburg, Dept Biol & Environm Sci, Gothenburg, Sweden Univ Newcastle, Prior Res Ctr Reprod Sci, Callaghan, NSW, Australia Univ Cyprus, Med Sch, Nicosia, Cyprus Shandong Agr Univ, Coll Plant Protect, Agr Big Data Res Ctr, Tai An, Shandong, Peoples R China NIMH, Neuropsychol Lab, Bldg 9, Bethesda, MD 20892 USA Univ Wisconsin, Wisconsin Inst Discovery, Madison, WI USA Univ Oxford, Struct Genom Consortium, Oxford, England Weihenstephan Triesdorf Univ Appl Sci, TUM Campus Straubing Biotechnol & Sustainabil, Bioinformat, Straubing, Germany Univ Michigan, Cardiovasc Res, Ann Arbor, MI 48109 USA Bombay Coll Pharm, Pharmaceut Chem, Mumbai, Maharashtra, India Inst Invest Biol Clemente Estable, Dev Neurobiol, Montevideo, Uruguay Gem Hosp & Res Ctr, Surg Gastroenterol & HPB Surg, Coimbatore, Tamil Nadu, India Kafr El Sheikh Univ, Fac Sci, Dept Zool, Kafr Al Sheikh, Egypt Med Univ Innsbruck, Dept Internal Med 4, Innsbruck, Austria Australian Natl Univ, Div Biomed Sci & Biochem, Canberra, ACT, Australia Univ Cattolica Sacro Cuore, Appl Technol Neuropsychol Lab, Milan, Italy Shandong Inst Parasit Dis, Med Entomol, Jinan, Shandong, Peoples R China Kumamoto Univ, Sch Pharm, Kumamoto, Japan Nagoya City Univ, Grad Sch Pharmaceut Sci, Dept Biol Chem, Nagoya, Aichi, Japan Univ Karachi, ICCBS, PCMD, Jamil ur Rahman Ctr Genome Res, Karachi 75270, Pakistan Labormed Zentrum Dr Risch, Vaduz, Liechtenstein Univ Otago, Med, Dunedin, New Zealand KK Womens & Childrens Hosp, Maternal Fetal Med, Singapore, Singapore Albert Ludwigs Univ Freiburg, GERN Tissue Replacement Regenerat & Neogenesis, Dept Orthoped & Trauma Surg, Med Ctr,Fac Med, Freiburg, Germany Heinrich Heine Univ, Inst Biochem & Mol Biol, Dusseldorf, Germany Natl Univ Ireland Galway, Surg, Galway, Ireland Univ Western Australia, Inst Agr, Perth, WA, Australia Univ Oxford, Nuffield Dept Med, Oxford, England SingHlth Polyclin, Punggol Polyclin, Singapore, Singapore Med Univ Innsbruck, Bioctr, Div Biol Chem, Innsbruck, Austria La Trobe Univ, La Trobe Inst Mol Sci, Biochem & Genet, Melbourne, Vic, Australia Univ Bordeaux, INRA, Bordeaux, France Agr & Agri Food Canada, Lethbridge Res & Dev Ctr, Lethbridge, AB, Canada St George Hosp, Trauma & Orthopaed, London, England Max Planck Inst Dev Biol, Dept Prot Evolut, Tubingen, Germany Med Univ Lublin, Dept Gynaecol 2, Lublin, Poland ICIT, ICSI Analyt Natl Res & Dev, Ramnicu Valcea, VL, Romania Univ KwaZulu Natal, Occupat Therapy, Westville Campus, Durban, South Africa Inst Canc Res, Joint Dept Phys, London, England Karolinska Inst, Dept Mol Med & Surg, Solna, Sweden Wenzhou Med Univ, Affiliated Hosp 2, Orthopaed, Wenzhou, Zhejiang, Peoples R China Univ Republica, Fac Ciencias, Ctr Invest Nucl, Lab Virol Mol, Montevideo, Uruguay Univ Gothenburg, Dept Med Biochem & Cell Biol, Gothenburg, Sweden Charite Med Univ Berlin, Pediat Cardiol, Berlin, Germany Bambino Gesu Pediat Hosp, Dept Neurosci & Neurorehabil, Neurorehabil Unit, Rome, Italy Indiana Univ Sch Med Northwest, Microbiol & Immunol, Gary, IN USA Univ Regensburg, Dept Behav & Mol Neurobiol, Regensburg, Germany Univ Queensland, Diamantina Inst, Brisbane, Qld, Australia Translat Res Inst, Brisbane, Qld, Australia Univ Hong Kong, Sch Biomed Sci, Hong Kong, Peoples R China St Jude Childrens Res Hosp, Pharmaceut Sci Dept, 332 N Lauderdale St, Memphis, TN 38105 USA Univ Durham, Mus, Durham, England Univ Ioannina, Med Sch, Dept Hyg & Epidemiol, Ioannina, Greece Tech Univ Munich, Sch Life Sci Weihenstephan, Maximus von Imhof Forum 3, D-85354 Freising Weihenstephan, Germany Univ Hosp Essen, Inst Transfus Med, Essen, Germany Virginia Commonwealth Univ, Comp Sci, Richmond, VA USA Univ Queensland, Inst Social Sci Res, Brisbane, Qld, Australia Univ Lyon, Ctr Int Rech Infectiol, Lyon, France Griffith Univ, Sch Allied Hlth Sci, Gold Coast, Qld, Australia Univ Melbourne, Dept Biochem & Mol Biol, Parkville, Vic, Australia Indiana Univ Purdue Univ, Dept Biohlth Informat, Sch Informat & Comp, Indianapolis, IN 46202 USA Philipps Univ Marburg, Inst Lung Res, Marburg, Germany Indiana Univ, Dept Biol, Bloomington, IN USA Univ Florida, Oral Biol, Gainesville, FL USA Univ Colorado, Dept Biochem, Boulder, CO 80309 USA Kyoto Univ, Ctr Promot Interdisciplinary Educ & Res, Kyoto, Japan Friedrich Loeffler Inst, Inst Virus Diagnost, Greifswald, Germany Univ Oxford, Dept Zool, Oxford, England Tech Univ Munich, Dept Bioinformat, Munich, Germany Univ Adelaide, Sch Anim & Vet Sci, Adelaide, SA, Australia Stanford Univ, Canc Biol, Palo Alto, CA 94304 USA Covenant Univ, Dept Elect & Informat Engn, Ota, Nigeria Heinrich Heine Univ, Inst Stem Cell Res & Regenerat Med, Dusseldorf, Germany Univ British Columbia, Fac Pharmaceut Sci, Vancouver, BC, Canada Albert Einstein Coll Med, Psychiat, New York, NY USA Akdeniz Univ, Med Biol & Genet, Antalya, Turkey NIMH, NIH, Bethesda, MD 20892 USA Med Univ Hosp, Internal Med 1, Tubingen, Germany NET ESolut, Netelabs, Mclean, VA USA Univ Southern Denmark, Inst Publ Hlth, Odense, Denmark John Innes Ctr, Mol Microbiol, Norwich, Norfolk, England Univ Adelaide, Waite Res Precinct, Australian Res Council, Ctr Excellence Plant Energy Biol, Adelaide, SA, Australia Univ Cambridge, Cambridge Inst Publ Hlth, Cambridge, England Univ Munster, Inst Biochem, Munster, Germany Australian Natl Univ, Natl Ctr Epidemiol & Populat Hlth RSPH, Canberra, ACT, Australia Stanford Univ, Neurobiol & Bioengn, Palo Alto, CA 94304 USA Univ Birmingham, Geog Earth & Environm Sci, Birmingham, W Midlands, England Murdoch Univ, Sch Vet & Life Sci, Perth, WA, Australia George Mason Univ, Ctr Climate Change Commun, Fairfax, VA 22030 USA Univ Adelaide, Sch Agr Food & Wine, Adelaide, SA, Australia Southern Med Univ, Sch Pharmaceut Sci, Guangzhou, Guangdong, Peoples R China Stanford Univ, Pathol, Palo Alto, CA 94304 USA Univ Bologna, Dept Expt Diagnost & Specialty Med, Bologna, Italy Univ Padua, Dept Gen Psychol, Padua, Italy Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Dept Bioinformat & Syst Biol, Key Lab Mol Biophys,Minist Educ, Wuhan, Hubei, Peoples R China Huazhong Univ Sci & Technol, Collaborat Innovat Ctr Biomed Engn, Wuhan, Hubei, Peoples R China Queensland Univ Technol, Sch Biomed Sci, Brisbane, Qld, Australia French Natl Ctr Sci Res, CNRS, Inst Biol Physicochim, Paris, France Univ Warwick, Dept Sociol, Coventry, W Midlands, England European Mol Biol Lab, Struct & Computat Biol, Heidelberg, Germany Univ Cincinnati, Coll Med, Canc Biol, Cincinnati, OH USA Univ Waterloo, Biol, Waterloo, ON, Canada Sorbonne Univ, CNRS, Integrat Biol Marine Models LBI2M, SBR, Roscoff, France Univ Manitoba, Biochem & Med Genet, Winnipeg, MB, Canada Max Planck Inst Solid State Res, Ultrafast Solid State Spect, Stuttgart, Germany Imperial Coll London, Sch Publ Hlth, Dept Infect Dis Epidemiol, London, England Mansoura Univ, Fac Vet Med, Biochem, Mansoura, Egypt Univ Virginia, Mol Physiol & Biol Phys, Charlottesville, VA USA China Univ Geosci, State Key Lab Biogeol & Environm Geol, Wuhan, Hubei, Peoples R China Clin Neurol & Psychiat Children & Youth, Child Psychiat, Belgrade, Serbia Ahvaz Jundishapur Univ Med Sci, Med Phys, Ahwaz, Iran Univ Iowa City, Coll Dent, Div Biostat & Computat Biol, Dept Prevent & Community Dent, Iowa City, IA USA Univ Iowa City, Coll Dent, Div Biostat & Computat Biol, Dept Biomed Engn, Iowa City, IA USA Univ Iowa City, Coll Dent, Div Biostat & Computat Biol, Dept Biostat, Iowa City, IA USA Univ Tubingen, Inst Med Psychol & Behav Neurobiol, Tubingen, Germany Univ Ibadan, Dept Zool, Ibadan, Nigeria Kansas State Univ, Coll Vet Med, Manhattan, KS 66506 USA Univ Tasmania, Sch Technol Environm & Design, Discipline ICT, Hobart, Tas, Australia Childrens Mercy Hosp, Radiol, Kansas City, MO 64108 USA Stockholm Univ, Dept Phys, Stockholm, Sweden Oslo Univ Hosp, Inst Canc Genet & Informat, Oslo, Norway CSIRO, CSIRO Mfg, Pullenvale, Qld, Australia Johns Hopkins Sch Med, Urol, Baltimore, MD USA Univ South Africa, Life & Consumer Sci, Johannesburg, South Africa German Ctr Neurodegenerat Dis, Mech Induced Plast Brain, Bonn, Germany UCL, Inst Child Hlth, Dev Biol & Canc, London, England Simon Fraser Univ, Biomed Physiol & Kinesiol, Burnaby, BC, Canada Univ Manchester, Ctr Hlth Informat, Manchester, Lancs, England Univ Queensland, Sch Human Movement & Nutr Sci, Brisbane, Qld, Australia Albert Einstein Coll Med, Dept Med, New York, NY USA Georgetown Univ, Kennedy Inst Eth, Washington, DC 20057 USA Dermatol Skin & Canc Fdn, Carlton, Vic, Australia Med Coll Wisconsin, Div Hematol, Milwaukee, WI 53226 USA Med Coll Wisconsin, Div Oncol, Milwaukee, WI 53226 USA Med Coll Wisconsin, Div Infect Dis, Milwaukee, WI 53226 USA US FDA, Off Biotechnol Prod, Washington, DC 20204 USA Worcester Polytech Inst, Biomed Engn, Worcester, MA 01609 USA Univ Adelaide, Ctr Orthopaed & Trauma Res, Adelaide, SA, Australia Publ Hlth England, Natl Infect Serv, Bristol, Avon, England Univ Utrecht, Fac Sci Chem, Utrecht, Netherlands Natl Univ Ireland Galway, Pathol, Galway, Ireland Imperial Coll London, NHLI, London, England Danube Private Univ, Neurodegenerat, Krems Donau, Austria Imperial Coll London, Dept Chem, London, England Univ Helsinki, Finnish Museum Nat Hist, Helsinki, Finland Univ Sydney, Sch Life & Environm Sci, Sydney, NSW, Australia Univ Nottingham, Nottingham Digest Dis Ctr, Nottingham, England Univ Toulouse, CNRS, ITAV, USR3505, Toulouse, France ASCR, Inst Mol Genet, CZ Openscreen, Prague, Czech Republic Univ Turku, Inst Biomed, Turku, Finland York Univ, Sch Kinesiol & Hlth Sci, Toronto, ON, Canada Univ Calif Los Angeles, Stein Eye Inst, Ophthalmol, Los Angeles, CA USA Agr & Agri Food Canada, Ottawa Res & Dev Ctr, Ottawa, ON, Canada Helmholtz Zentrum Geesthacht, Mat Design & Characterizat, Geesthacht, Germany Unvers Genova, Internal Med, Genoa, Italy Otto von Guericke Univ, Intelligent Catheter INKS, Magdeburg, Germany Univ Toledo, Canc Biol, 2801 W Bancroft St,Hlth Sci Campus, Toledo, OH 43606 USA CRUK Beatson Inst, Struct Biol, Glasgow, Lanark, Scotland Leibniz Inst Primate Res, Med RNA Biol, Gottingen, Germany Univ Limoges, PEIRENE, EA 7500, Limoges, France Hainan Univ, Vet Med, Haikou, Hainan, Peoples R China UCL, Sch Pharam, Pharmacognosy & Phytotherapy, London, England Univ Oulu, Ecol & Genet Res Unit, Oulu, Finland Rhein Westfal TH Aachen, Inst Biochem & Mol Immunol, Aachen, Germany Univ Stuttgart, Inst Biochem & Tech Biochem, Stuttgart, Germany Peking Univ, Shenzhen Grad Sch, Sch Chem Biol & Biotechnol, Shenzhen, Peoples R China GIGA Res Inst, Med Oncol, Liege, Belgium CHULiege, Liege, Belgium Fdn Bruno Kessler, MPBA, Trento, Italy Hokkaido Univ, Grad Sch Med, Dept Neurobiol, Sapporo, Hokkaido, Japan Univ Leuven, Oncol, Leuven, Belgium Chalmers Univ Technol, Dept Math Sci, Gothenburg, Sweden Radboud Univ Nijmegen, Med Ctr, Dept Neurol, Nijmegen, Netherlands Univ South Australia, Sch Informat Technol & Math Sci, Adelaide, SA, Australia Bio Thera Solut Ltd, Dept Computat Biol, Guangzhou, Guangdong, Peoples R China Inst Invest Biosanitario Granada IBS, Otolaryngol, Granada, Spain Curtin Univ, Sch Mol & Life Sci, Perth, WA, Australia Newcastle Univ, Inst Cellular Med, Newcastle Upon Tyne, Tyne & Wear, England Goethe Univ, Biol DCAL, Inst Pharm, Frankfurt, Germany Univ Lyon, ICBMS, UMR 5246, Lyon, France Inst Pasteur, Dept Genomes & Genet, Paris, France Univ Valencia, Pharmacol, Valencia, Spain Council Agr Res & Econ, Res Ctr Olive Citrus & Tree Fruit, Caserta, Italy Fraunhofer Inst Toxicol & Expt Med ITEM, Preclin Pharmacol & Vitro Toxicol, Hannover, Germany Univ Tasmania, Sch Med, Hobart, Tas, Australia Chugai Pharmaceut Co Ltd, Oncol Lifecycle Management Dept, Tokyo, Japan Univ Lubeck, Inst Neurobiol, Lubeck, Germany NYU, Sch Med, Neurol, New York, NY USA Univ Putra Malaysia, Dept Plant Pathol, Seri Kembangan, Malaysia Univ N Carolina, Biol, Chapel Hill, NC 27515 USA Univ Southampton, Fac Hlth Sci, Southampton, Hants, England Univ Highlands & Islands, Genet & Immunol Res Grp, Inverness, Scotland Heidelberg Univ, Inst Pathol, Heidelberg, Germany Indraprastha Inst Informat Technol, Dept Computat Biol, New Delhi, India Glasgow Caledonian Univ, Sch Hlth & Life Sci, Glasgow, Lanark, Scotland Liverpool John Moores Univ, Pharm & Biomol Sci, Liverpool, Merseyside, England Parkinsons Inst & Clin Ctr, Basic Res, Sunnyvale, CA USA Luxembourg Inst Sci & Technol, Environm Res & 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Kansas, Med Ctr, Family Med Res Div, Kansas City, KS 66103 USA ASTAR, Inst Mol & Cell Biol, Multimodal Mol Biol, Singapore, Singapore Univ Leuven, Dept Chron Dis Metab & Ageing, Leuven, Belgium Int Iberian Nanotechnol Lab INL, Braga, Portugal Anglia Ruskin, Comp & Technol, Cambridge, England Max Planck Inst Biochem, Struct Cell Biol, Planegg, Germany Univ Seville, Dept Comp Architecture & Technol, Seville, Spain Univ Colorado, EBIO, Boulder, CO 80309 USA Univ Manchester, Canc Sci, Manchester, Lancs, England Australian Natl Univ, Res Sch Populat Hlth, Canberra, ACT, Australia Singapore MIT Alliance Res & Technol, Biosyst, Singapore, Singapore Australian Catholic Univ, Mary MacKillop Inst Hlth Res, Musculoskeletal Hlth & Ageing Res Program, Melbourne, Vic, Australia Ruhr Univ Bochum, Gen Surg, St Josef Hosp, Bochum, Germany Northwest A&F Univ, Coll Life Sci, Xianyang, Shaanxi, Peoples R China Australian Natl Univ, Res Sch Biol, Div Plant Sci, Canberra, ACT, Australia Battelle Mem Inst, Clin & Nonclin Res, Columbus, OH USA Southern Methodist Univ, Biol Sci, Dallas, TX 75275 USA Teikyo Univ, Inst Med Mycol, Tokyo, Japan Tempus Labs, Bioinformat, Chicago, IL USA Hunan Univ, Coll Biol, Changsha, Hunan, Peoples R China Inst Cochin, Dept Infect Immun & Inflammat, Paris, France Royal Coll Surgeons Ireland, FutureNeuro Res Ctr Physiol & Med Phys, Dublin, Ireland Univ Jyvaskyla, Gerontol Res Ctr, Jyvaskyla, Finland Heidelberg Univ, Dept Anesthesiol, Heidelberg, Germany Penn State Univ, Biol, University Pk, PA 16802 USA Chinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R China Univ Sci & Technol China, Sch Life Sci, Hefei, Anhui, Peoples R China Michigan State Univ, Anim Sci, E Lansing, MI 48824 USA SUNY Buffalo, Jacobs Sch Med & Biomed Sci, Dept Neurol, Buffalo Neuroimaging Anal Ctr, New York, NY USA Univ Rostock, Inst Biol Sci, Rostock, Germany South China Normal Univ, Sch Environm, Environm Res Inst, Guangzhou, Guangdong, Peoples R China Univ Bari, Dept Vet Med, Bari, Italy Radboud Univ Nijmegen, Med Ctr, Primary & Community Care, Nijmegen, Netherlands EcoHlth Alliance, New York, NY USA Mayo Clin, Cardiovasc Dept, Rochester, MN USA Med Univ Silesia, Sch Med Katowice, Dept Epidemiol, Katowice, Poland Univ Lleida, Anim Sci, Lleida, Spain Univ Florida, Coll Pharm, Pharmaceut Outcomes & Policy, Gainesville, FL USA Pacific Northwest Natl Lab, Earth & Biol Sci Directorate, Richland, WA 99352 USA Univ Edinburgh, Ctr Discovery Brain Sci, Edinburgh, Midlothian, Scotland Harvard Med Sch, Dept Biomed Informat, Boston, MA 02115 USA Univ Penn, Radiol, Philadelphia, PA 19104 USA Humanitas Univ & Res Hosp, Asthma & Allergy Unit, Biomed Sci Personalized Med, Rozzano, Italy Australian Natl Univ, Dept Quantum Sci, Canberra, ACT, Australia Carl von Ossietzky Univ Oldenburg, Ecol Genom, Oldenburg, Germany Int Med Univ, Paediat Dent & Orthodont, Kuala Lumpur, Malaysia Univ Ottawa, Sch Nursing, Ottawa, ON, Canada Maastricht Univ, Dept Educ Support, Maastricht, Netherlands Univ Manchester, Math, Manchester, Lancs, England Kings Coll London, Fac Life Sci & Med, Sch Populat Hlth Sci, London, England Queensland Univ Technol, Inst Hlth & Biomed Innovat, Brisbane, Qld, Australia Harbin Med Univ, Publ Hlth Sch, Epidemiol, Harbin, Heilongjiang, Peoples R China UiT Arctic Univ Norway, Dept Chem, Tromso, Norway Cornell Univ, Biol Stat & Computat Biol, Ithaca, NY USA East China Normal Univ, Sch Ecol & Environm Sci, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai, Peoples R China Johannes Gutenberg Univ Mainz, Fac Biol, Mainz, Germany Univ Massachusetts, Food Sci, Amherst, MA 01003 USA Max Planck Inst Terr Microbiol, Complex Adapt Traits Res Grp, Marburg, Germany NIHR Biomed Res Ctr Resp, Ctr Exercise & Rehabil Sci, Leicester, Leics, England Yale Univ, Dept Internal Med, Sect Endocrinol, New Haven, CT USA Sardar Patel Univ, Dept Biosci, Anand, Gujarat, India Univ Tokyo, Dept Appl Phys, Tokyo, Japan Univ Cologne, Vivo Res Facil ivRF, Cologne Excellence Cluster Cellular Stress Respon, Cologne, Germany Natl Open Univ Nigeria, Dept Publ Hlth Sci, Lagos, Nigeria Univ Hosp Regensburg, Dept Radiol, Regensburg, Germany Natl Univ Singapore, Geog, Singapore, Singapore Alfaisal Univ, Coll Med, Riyadh, Saudi Arabia Abdelmalek Essaadi Univ, Fac Sci & Techn Tangier, Biomed Genom & Oncogenet Res Lab, Tetouan, Morocco Tech Univ Munich, Fac Sport & Hlth Sci, Exercise Biol Grp, Munich, Germany Univ Santiago de Compostela, Dept Psicoloxia Social Basica & Metodoloxia, Galiza, Spain Griffith Univ, Signal Proc Lab, Brisbane, Qld, Australia Univ Ghent, Dept Neurol, Ghent, Belgium Ghent Univ Hosp, Ghent, Belgium Univ Ghent, Fac Vet Med, Merelbeke, Belgium Albert Einstein Coll Med, Inst Clin & Translat Res, New York, NY USA Anglia Ruskin Univ, Fac Med Sci, Cambridge, England Peking Univ, Coll Chem & Mol Engn, Beijing, Peoples R China Herlev & Gentofte Hosp, Dept Dermatol & Allergy, Hellerup, Denmark Lady Cilento Childrens Hosp, Med Imaging & Nucl Med, Brisbane, Qld, Australia Univ Gambia, Sch Med & Allied Hlth Sci, Nursing & Reprod Hlth, Brikama, Gambia Univ Sydney, Woolcock Inst Med Res, Sydney, NSW, Australia Wayne State Univ, Comp Sci, Detroit, MI USA Aberdeen Royal Infirm, Otolaryngol, Aberdeen, Scotland Univ Toronto, Lab Med & Pathobiol, Toronto, ON, Canada Chinese Univ Hong Kong, Inst Ageing, Hong Kong, Peoples R China Univ Nebraska Med Ctr, Emergency Med, Omaha, NE USA Univ Florida, Coll Med, Pathol, Gainesville, FL USA Univ Texas MD Anderson Canc Ctr, Radiat Oncol, Houston, TX 77030 USA Univ Pisa, Translat Res NTMS, Pisa, Italy Magna Grecia Univ, Clin & Expt Med, Catanzaro, Italy Univ Vermont, Larner Coll Med, Pediat, Burlington, VT USA Sun Yat Sen Univ, Canc Ctr, Diagnost & Intervent Ultrasound, Guangzhou, Guangdong, Peoples R China Fudan Univ, Inst Brain Sci, Shanghai, Peoples R China Shanxi Agr Univ, Coll Agron, Jinzhong, Shanxi, Peoples R China Univ Toronto, Inst Med Sci, Toronto, ON, Canada Univ Adelaide, ARCPOH, Adelaide, SA, Australia Pelita Harapan Univ, Fac Med, Cardiol & Vasc Med, Tangerang, Indonesia Inst Mental Hlth, Res Div, Singapore, Singapore UCL, MRC Clin Trials Unit, London, England Univ Padua, Dept Philosophy Sociol Educ & Appl Psychol FISPPA, Padua, Italy Univ Lubeck, Dept Psychiat & Psychotherapy, Lubeck, Germany Dalian Univ Technol, Ctr Mol Med, Dalian, Liaoning, Peoples R China Tianjin United Family Healthcare, Reprod Med, Tianjin, Peoples R China Univ Autonoma Barcelona, Dept Engn Quim Biol & Ambiental, Barcelona, Spain Sao Paulo State Univ UNESP, Dept Anim Sci, Sao Paulo, Brazil Helmholtz Zentrum Munchen, Inst Computat Biol, Canc Syst Biol, Ingolstadter Land Str 1, D-85764 Munich, Germany Univ Tokyo, Dept Cardiovasc Med, Tokyo, Japan Sao Paulo State Univ, Vet Clin, Sao Paulo, Brazil Zhejiang Univ, Inst Biotechnol, Hangzhou, Zhejiang, Peoples R China Aarhus Univ, Dept Mol Biol & Genet, Aarhus, Denmark Univ Manchester, St Marys Hosp, Maternal & Fetal Hlth, Manchester, Lancs, England Univ New Mexico, Internal Med, Albuquerque, NM 87131 USA Mayo Clin, Div Biomed Stat & Informat, Jacksonville, FL 32224 USA King Saud Univ, Plant Prod, Riyadh, Saudi Arabia Polish Acad Sci, Inst Genet & Anim Breeding, Dept Mol Biol, Warsaw, Poland Queensland Univ Technol, Optometry & Vis Sci, Brisbane, Qld, Australia Univ Nottingham, Sch Life Sci, Nottingham, England Canc Council Queensland, Canc Res Ctr, Brisbane, Qld, Australia Umea Univ, Dept Chem, Umea, Sweden Publ Hlth England, Ctr Radiat Chem & Environm Hazards, Bristol, Avon, England Univ Campania L Vanvitelli, DISTABIF, Caserta, Italy Bartshealth, Obstet & Gyanecol, London, England Univ Clermont Auvergne, GReD Lab, Clermont Ferrand, France INRA Abeilles & Environm, Avignon, France Queensland Univ Technol, Sch Publ Hlth & Social Work, Brisbane, Qld, Australia Univ Penn, Psychiat, Philadelphia, PA 19104 USA Novosibirsk State Univ, Res Inst Physiol & Basic Med, Novosibirsk, Russia UCL, Dept Chem, London, England La Trobe Univ, Anim Plant & Soil Sci, Melbourne, Vic, Australia Univ Arizona, Epidemiol & Biostat, Tucson, AZ USA Univ Groningen, Univ Med Ctr Groningen, ERIBA, Groningen, Netherlands Univ Gothenburg, Inst Clin Sci, Dept Radiat Phys, Gothenburg, Sweden SUNY Upstate Med Univ, Biochem & Mol Biol, Syracuse, NY 13210 USA Fundacao Oswaldo Cruz, Ctr Pesquisas Goncalo Moniz, Salvador, Bahia, Brazil Inst Environm Sci & Res ESR, Food Water & Environm Microbiol, Christchurch, New Zealand Univ Otago, Food Sci, Dunedin, New Zealand Florida Atlantic Univ, Biomed Sci, Boca Raton, FL 33431 USA Univ Queensland, Inst Mol Biosci, Brisbane, Qld, Australia Univ Hosp Wurzburg, Inst Clin Neurobiol, Wurzburg, Germany Inst Trop Med, Publ Hlth, Antwerp, Belgium Univ Thessaly, Sch Hlth Sci, Fac Med, Dept Rheumatol & Clin Immunol, Larisa, Greece Univ Basel, UZB Univ Ctr Dent Med, Dept Orthodont & Pediat Dent, Basel, Switzerland Sorbonne Univ, Museum Natl Hist Nat, Inst Systemat Evolut Biodiversite ISYEB, MNHN,CNRS,UMR 7205,EPHE, Paris, France CNRS, Inst Adv Biosci, Paris, France Univ Western Australia, Sch Mol Sci, Perth, WA, Australia Univ Ft Hare, Biochem & Microbiol, Alice, South Africa Univ Tubingen, Phys, Tubingen, Germany Griffith Univ, Sch Environm & Sci, Brisbane, Qld, Australia Philosoph Theol Hsch Vallendar, Stat & Standardised Methods, Vallendar, Germany Imperial Coll London, Life Sci, London, England Univ Adelaide, Adelaide Med Sch, Adelaide, SA, Australia Univ Nebraska Med Ctr, Dept Pharmacol & Expt Neurosci, Omaha, NE USA Technol Univ Dublin, FOCAS Res Inst, Dublin, Ireland INSERM, Natl Inst Hlth & Med Res, Canc Res Ctr Toulouse, Paris, France Univ Santiago de Compostela, Dept Bioloxia Func, Grp BRAINSHARK, Galiza, Spain Univ Nebraska, Biol, Kearney, NE USA Univ Autonoma Barcelona, Dept Genet & Microbiol, Barcelona, Spain Univ Pisa, Chem & Ind Chem, Pisa, Italy Univ Manchester, Wellcome Trust Ctr Cell Matrix Res, Manchester, Lancs, England Univ Montpellier, CNRS, Inst Human Genet, Montpellier, France Czech Acad Sci, Inst Organ Chem & Biochem, Prague, Czech Republic CSIC, Natl Ctr Biotechnol CNB, Computat Syst Biol Grp, Madrid, Spain Natl Cheng Kung Univ, Dept Biochem & Mol Biol, Tainan, Taiwan Harvard Med Sch, Schepens Eye Res Inst, Ophthalmol, Boston, MA 02115 USA Lanzhou Univ, Hosp 2, Dept Gen Surg, Lanzhou, Gansu, Peoples R China Univ Technol Sydney, Sch Life Sci, Sydney, NSW, Australia JT Chen Clin, Gynecol, Tokyo, Japan Univ Western Australia, Sch Agr & Environm, Perth, WA, Australia Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China Univ Missouri, Elect Engn & Comp Sci, Columbia, MO USA Vrije Univ Amsterdam Med Ctr, Amsterdam Publ Hlth Res Inst, Dept Publ & Occupat Hlth, Amsterdam, Netherlands Semmelweis Univ, Med Biochem, Budapest, Hungary Queen Elizabeth Hosp, Dept Clin Oncol, Hong Kong, Peoples R China Univ Pittsburgh, Chem, Pittsburgh, PA USA GB Pant Inst Post Grad Med Educ & Res, Neurol, New Delhi, India Univ Copenhagen, Vet & Anim Sci, Copenhagen, Denmark Univ Palermo, Biomed Dept Internal & Specialist Med DIBIMIS, Sect Endocrinol, Palermo, Italy UCL, NPP, London, England Univ Florida, Microbiol & Cell Sci, Gainesville, FL USA Univ Salford, Sch Hlth Sci, Manchester, Lancs, England Cardiff Univ, Inst Med Genet, Cardiff, S Glam, Wales INSERM, ICO Canc Ctr, Angers, France Univ Colombo, Fac Med, Microbiol, Colombo, Sri Lanka Beijing Univ Chinese Med, Sch Chinese Mat Med, Beijing, Peoples R China Univ Porto, Fac Pharm, Porto, Portugal Univ Nottingham, Div Primary Care, Nottingham, England Univ Illinois, Pharm Syst Outcomes & Policy, Chicago, IL USA Pontificia Univ Catolica Goias, Escola Ciencias Agr & Biol, Goiania, Go, Brazil China Japan Friendship Hosp, Dept Oncol, Beijing, Peoples R China Boston Univ, Chem, Boston, MA 02215 USA Amer Univ, Environm Sci, Washington, DC 20016 USA Carleton Univ, Neurosci, Ottawa, ON, Canada Univ Regina, Chem & Biochem, Regina, SK, Canada Univ Montreal, Microbiolgy, Montreal, PQ, Canada Univ Leicester, Dept Genet & Genome Biol, Leicester, Leics, England Univ Queensland, Sch Agr & Food Sci, Gatton, Qld, Australia CNRS, BIOM, Paris, France UCL, Hatter Cardiovasc Inst, London, England Flinders Univ S Australia, Sci & Engn, Adelaide, SA, Australia Univ Warwick, Engn, Coventry, W Midlands, England Katholieke Univ Leuven, Ctr Human Genet, Leuven, Belgium Fudan Univ, Dept Macromol Sci, Shanghai, Peoples R China Dokuz Eylul Univ, Biol Educ, Izmir, Turkey Indiana Univ Sch Med, Dept Biochem & Mol Biol, Indianapolis, IN 46202 USA Mondo Med, Pulm Dis, Borgomanero, Italy US Naval, Res Lab, Ctr Bio Mol Sci & Engn, Washington, DC USA Univ Oslo, Inst Basic Med Sci, Dept Nutr, Oslo, Norway Peking Univ, Dept Mech & Engn Sci, Beijing, Peoples R China Saarland Univ, Dept Pharm Pharmaceut & Med Chem, Saarbrucken, Germany INSERM, Natl Inst Hlth & Med Res, Skin Res Inst, Paris, France Shanghai Proton & Heavy Ion Ctr, Res & Dev, Shanghai, Peoples R China Univ Georgia, Epidemiol, Athens, GA 30602 USA Univ Freiburg, Med Ctr, Dept Plast & Hand Surg, Freiburg, Germany Sidra Med, Res, Doha, Qatar Rostock Univ, Med Ctr, Dept Oral Maxillofacial & Plast Surg, Rostock, Germany Harvard Med Sch, Brigham & Womens Hosp, Emergency Med, Boston, MA 02115 USA AgResearch, Forage Sci, Palmerston North, New Zealand Univ Calif Los Angeles, Med, Los Angeles, CA USA Arizona State Univ, Biodesign Inst, Virginia G Piper Ctr Personalized Diagnost, Tempe, AZ USA Sheffield Hallam Univ, Res Inst, Mat & Engn, Sheffield, S Yorkshire, England Aneurin Bevan Univ Healthboard, Resp Med, Newport, Shrops, England Univ Calif San Francisco, Neurol Surg, San Francisco, CA 94143 USA Univ Western Australia, UWA Dent Sch, Perth, WA, Australia Fordham Univ, Biol Sci, Bronx, NY 10458 USA Univ Helsinki, Inst Biotechnol, Helsinki, Finland Fujian Normal Univ, Coll Life Sci, Fuzhou, Fujian, Peoples R China Univ Fukui, Dept Frontier Fiber Technol & Sci, Fukui, Japan Univ Southampton, Fac Med, Clin & Expt Sci, Southampton, Hants, England Univ Urbino, Dept Biomol Sci, Urbino, Italy Osped San Luigi, Allergol Unit, Turin, Italy Muljibhai Patel Urol Hosp, Dept Urol, Nadiad, Gujarat, India Univ Granada, Stratig & Paleontol, Granada, Spain Massey Univ, Sch Vet Sci, Auckland, New Zealand CNR, High Performance Comp & Networking Inst, Naples, Italy Univ Childrens Hosp Zurich, Div Metab, Zurich, Switzerland Univ Childrens Hosp Zurich, Childrens Res Ctr, Zurich, Switzerland Univ Melbourne, Biochem & Mol Biol, Parkville, Vic, Australia Inst Pasteur, Leptospirosis Res & Expertise Unit, Noumea, New Caledonia Tsinghua Univ, Sch Life Sci, Beijing, Peoples R China Cheikh Anta Diop Univ UCAD, Sci Fac, Biol Anim Dept, Dakar, Senegal Providence Portland Med Ctr, Earle A Chiles Res Inst, Portland, OR USA Agr & Agri Food Canada, Lacombe Res & Dev Ctr, Lacombe, AB, Canada Alberta Innovates, Performance Management & Evaluat, Edmonton, AB, Canada Univ Malaga, CSIC, Inst Hortofruticultura Subtrop Mediterranea La Ma, IHSM,UMA, Malaga, Spain James Cook Univ, Coll Publ Hlth Med & Vet Sci, Cairns, Qld, Australia European Commiss, Joint Res Ctr, Ispra, Italy Univ Montpellier, Montpellier, France CSIRO, Floreat, WA, Australia Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Guangzhou, Guangdong, Peoples R China Vanderbilt Univ, Pharmacol, 221 Kirkland Hall, Nashville, TN 37235 USA RIKEN, KFU RIKEN Translat Genom Unit, Yokohama, Kanagawa, Japan Univ Tubingen, Neurobiol Vocal Commun, Tubingen, Germany Univ Colorado, UCCS Ctr Biofrontiers Inst, Colorado Springs, CO 80907 USA Fred Hutchinson Canc Ctr, Div Basic Sci, Seattle, WA USA Univ Geneva, Fac Med, Primary Care Unit, Geneva, Switzerland Ernst Moritz Arndt Univ Greifswald, Dept Mol Genet & Infect Biol, Greifswald, Germany East China Univ Sci & Technol, Dept Fine Chem, Shanghai, Peoples R China Ohio State Univ, Surg, Columbus, OH 43210 USA Oragenics, R&D, Tampa, FL USA Natl Environm Agcy, Environm Hlth Inst, Singapore, Singapore Friedrich Loeffler Inst, Inst Diagnost Virol, Greifswald, Germany Queen Elizabeth Hosp, Oncol, Woodville, SA, Australia USDA, Emerging Pests & Pathogens Res Unit, Ithaca, NY USA Univ Freiburg, Med Ctr, Dept Neurosurg, Epilepsy Ctr, Freiburg, Germany Univ Hong Kong, Fac Educ, Informat & Technol Studies, Hong Kong, Peoples R China Univ Tokyo, Grad Sch Agr & life Sci, Agr & Environm Biol, Tokyo, Japan Univ Pittsburgh, Dept Med, Pittsburgh Heart Lung & Blood Vasc Med Inst, Pittsburgh, PA USA Guys & St Thomas NHS Fdn Trust, Directorate Transplant Renal & Urol, London, England Univ Sarajevo, Clin Ctr, Clin Heart Blood Vessel & Rheumat Dis, Sarajevo, Bosnia & Herceg Univ Kent, Sch Math Stat & Actuarial Sci, Canterbury, Kent, England Tokyo Inst Technol, Dept Life Sci & Technol, Tokyo, Japan Univ Appl Sci Munich, Laser Ctr Dept Appl Sci & Mechatron, Munich, Germany CIC NanoGUNE, Nanodevices, San Sebastian, Spain Vrije Univ Amsterdam Med Ctr, Gynaecol, Amsterdam, Netherlands Cardiff Univ, Med Sch, Div Populat Med, Cardiff, S Glam, Wales Karolinska Inst, Dept Med, Solna, Sweden Natl Inst Genet, Ctr Informat Biol, Mishima, Shizuoka, Japan Murdoch Univ, Harry Perkins Inst Med Res, Perth, WA, Australia Univ Limerick, Phys Educ & Sport Sci, Limerick, Ireland Ruhr Univ Bochum, Campus Clin Gynecol, Univ Str, Bochum, Germany Southwest Med Univ, Sch Publ Hlth, Epidemiol & Biostat, Luzhou, Sichuan, Peoples R China Beijing Canc Hosp, Minist Educ Beijing, Key Lab Carcinogenesis & Translat Res, Ctr Mol Diagnost, Beijing, Peoples R China Chinese Acad Sci, Chengdu Inst Biol, Herpetol Dept, Chengdu, Sichuan, Peoples R China Key Lab Nano Biol Effects & Safety, Beijing, Peoples R China NIBR, PK Sci, Basel, Switzerland Daejeon St Marys Hosp, Pain Ctr, Daejeon, South Korea Univ Western Ontario, Sch Hlth Studies, London, ON, Canada Univ Aberdeen, Hlth Psychol Grp, Aberdeen, Scotland Univ Colorado, Anesthesiol, Anschutz Med Campus, Boulder, CO 80309 USA Univ Antwerp, UZA Antwerp Univ Hosp, Crit 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Res Ctr, Stem Cell & Regenerat Med, Riyadh, Saudi Arabia Univ Bahri, Ind Pulp & Paper, Khartoum, Sudan Univ Queensland, Mater Med Res Inst, Mater Res Inst, Brisbane, Qld, Australia Colorado State Univ, NREL, Ft Collins, CO 80523 USA Rzeszow Univ Hosp, Ob Gyn Dept, Rzeszow, Poland Univ Leeds, Fac Biol Sci, Leeds, W Yorkshire, England Massachusetts Gen Hosp, Endocrine Unit, Boston, MA 02114 USA Carl von Ossietzky Univ Oldenburg, Neurosci, Oldenburg, Germany UNSW, St George & Sutherland Clin Sch, Microbiome Res Ctr, Sydney, NSW, Australia NYU, Sch Med, Dept Biochem, New York, NY 10016 USA NYU, Sch Med, Dept Mol Pharmacol, New York, NY USA Univ Mississippi, Med Ctr, Med Infect Dis, Jackson, MS 39216 USA Tampere Univ, Fac Social Sci Psychol, Tampere, Finland Univ Cyprus, Dept Biol Sci, Nicosia, Cyprus Goethe Univ, Inst Med Microbiol & Infect Control, Frankfurt, Germany Charite Med Univ Berlin, Inst Radiol, Berlin, Germany Univ Cologne, Univ Hosp Cologne, Internal Med 1, Cologne, Germany Univ Calif Los Angeles, Sch Dent, Sect Periodont, Los Angeles, CA 90024 USA Aalborg Univ Hosp, Dept Clin Biochem, Aalborg, Denmark Manipal Acad Higher Educ, Pharm Practice, Manipal, Karnataka, India Univ Tokyo, Inst Med Sci, Dept Radiol, Tokyo, Japan Cukurova Univ, Family Med, Fac Med, Adana, Turkey Catholic Univ Korea, Coll Med, Dept Humanities & Social Med, Seoul, South Korea Univ Ghent, Food Technol Safety & Hlth, Ghent, Belgium UNSW Sydney, Sch Biol Earth & Environm Sci BEES, Sydney, NSW, Australia St Vincent Shoulder & Sports Clin, Res Unit, Vienna, Austria Cornell Univ, Biomed Engn, Ithaca, NY USA Leibniz Inst Plant Genet & Crop Plant Res IPK, Res Grp Bioinformat & Informat Technol, Gatersleben, Germany Univ Europea Madrid, Sch Doctoral Studies, Madrid, Spain CSIRO Mfg, Biomed Mfg, Melbourne, Vic, Australia Depaul Univ, Biol Sci, Chicago, IL 60604 USA Konkuk Univ, Dept Anim Sci & Technol, Seoul, South Korea Chang Gung Univ, Grad Inst Med Mechatron, Taoyuan, Taiwan Korea Univ, 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Biochem & Mol Biol, 1430 Tulane Ave, New Orleans, LA 70112 USA NINDS, NIH, Bldg 36,Rm 4D04, Bethesda, MD 20892 USA NIH, NCBI, Natl Lib Med, Bldg 10, Bethesda, MD 20892 USA LOreal Res & Innovat, Aulnay Sous Bois, France Lund Univ, Dept Psychol, Malmo, Sweden Catholic Univ Louvain, Inst Rech Expt & Clin, Brussels, Belgium Georgia State Univ, Neurosci Inst, Atlanta, GA 30303 USA Univ Melbourne, Ophthalmol, Surg, Parkville, Vic, Australia Univ Western Australia, Ctr Ophthalmol & Visual Sci, Perth, WA, Australia Iran Univ Med Sci, Med Phys, Fac Med, Tehran, Iran Salk Inst Biol Studies, Cellular Neurobiol, La Jolla, CA USA Imperial Coll London, Fibrosis Res Grp, London, England Univ Texas MD Anderson Canc Ctr, Genitourinary Med Oncol, Houston, TX 77030 USA Univ Liege, GIGA Neurosci, Liege, Belgium Univ Crete, Sch Med, Urol, Iraklion, Greece Flinders Univ S Australia, Flinders Med Ctr, Dept Clin Pharmacol, Adelaide, SA, Australia Max Planck Inst Immunobiol & Epigenet, Bioinformat, Breisgau, Germany Cardiff Univ, Sch Psychol, Cardiff, S Glam, Wales Imperial Coll London, Chem Engn, London, England Lund Univ, Skane Univ Hosp, Clin Sci, Malmo, Sweden Sahlgrens Acad, Inst Clin Sci, Dept Mol & Clin Med, Gothenburg, Sweden Univ Cent Lancashire, Sch Pharm & Biomed Sci, Preston, Lancs, England Hosp Univ Doctor Peset, Psychiat & Clin Psychol, Valencia, Spain Ctr Biol Mol Severo Ochoa, Genome Dynam & Funct, Madrid, Spain Unvivers Hosp Lille, Dept Intens Care, Lille, France Kansai Med Univ, Surg, Osaka, Japan Univ Toulouse, Inst Natl Polytech Toulouse, Ecole Natl Super Agron Toulouse, Lab Genom & Biotechnol Fruit, Toulouse, France UiT Arctic Univ Norway, Inst Psychol, Tromsto, Norway Queens Univ, Ctr Publ Hlth, Belfast, Antrim, North Ireland Univ Manchester, Ctr Primary Care & Hlth Serv Res, Manchester, Lancs, England Griffith Univ, Menzies Hlth Inst, Gold Coast, Qld, Australia Anglia Ruskin Univ, FHSCE, Cambridge, England Univ Lleida, Dept Expt Med, Lleida, Spain NIEHS, Biomol Screening Branch, Div Natl Toxicol Program, POB 12233, Res Triangle Pk, NC 27709 USA Albany Med Coll, Immunol & Microbial Dis, Albany, NY 12208 USA Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia Univ Kent, Sch Biosci, Canterbury, Kent, England Univ Bourgogne Franche Comte, INSERM, LNC, UMR 1231, Besancon, France Ritsumeikan Univ, Coll Life Sci, Dept Biotechnol, Shiga, Japan Kent State Univ, Biol Sci, Kent, OH 44242 USA Natl Inst Infect Dis, Dept Safety Res Blood & Biol Prod, Tokyo, Japan European Inst Marine Studies, Lab Microbiol Extreme Environm, Plouzane, France Univ Iowa, Dept Pharmacol, Roy J & Lucille A Carver Coll Med, Iowa City, IA 52242 USA Natl Univ Singapore, Biol Sci, Singapore, Singapore Conservatoire Natl Arts & Metiers, Lab GBA, EA4627, Paris, France Univ Michigan, Dept Human Genet, Ann Arbor, MI 48109 USA Lomonosov Moscow State Univ, Belozersky Inst Physicochem Biol, Moscow, Russia Jikei Univ, Sch Med, Dept Mol Biol, Tokyo, Japan Univ South Wales, Genom & Computat Biol, Treforest, Wales Duke Univ, Med Ctr, Obstet & Gynecol, Durham, NC USA Univ Technol Sydney, Climate Change Cluster, Sydney, NSW, Australia Nagoya Univ, Grad Sch Med, Dept Radiol, Nagoya, Aichi, Japan Western Sydney Univ, Sch Sci & Hlth, Sydney, NSW, Australia TEI Epirus, Dept Speech & Language Therapy, Ioannina, Greece Indiana Univ Purdue Univ, Orthopaed Surg, Indianapolis, IN 46202 USA Oniris, Vet Pathol, Nantes, France Royal Vet Coll, Pathobiol & Populat Sci, Hatfield, Herts, England Univ Ghent, Lab Pharmaceut Biotechnol, Ghent, Belgium Norwegian Inst Nat Res, Terr Ecol, Trondheim, Norway Univ Calif Merced, Mol & Cell Biol, Merced, CA USA Univ Dublin, Trinity Coll Dublin, Sch Engn, Ctr Transport Res, Dublin, Ireland Lund Univ, Inst Clin Sci, Nephrol, Malmo, Sweden Univ Birmingham, Mech Engn, Birmingham, W Midlands, England Lund Univ, Inst Clin Sci, OB GYN, Lund, Sweden Fdn Jimenez Diaz Hosp, Nephrol & Hypertens, Madrid, Spain Queensland Univ Technol, Sch Chem Phys & Mech Engn, Brisbane, Qld, Australia Otto von Guericke Univ, Psychol, Magdeburg, Germany Univ Med Ctr Gottingen, Dept Expt Neurodegenerat, Gottingen, Germany Harvard Med Sch, Spaulding Rehabil Hosp, Phys Med & Rehabil, Boston, MA 02115 USA Quadram Inst Biosci, Sci Operat, Norwich, Norfolk, England Ostbayer Tech Hsch Regensburg OTH Regensburg, Regensburg Med Image Comp ReMIC, Regensburg, Germany Deakin Univ, Fac Arts & Educ, Melbourne, Vic, Australia Univ Warwick, Warwick Med Sch, Coventry, W Midlands, England INSERM, Natl Inst Hlth & Med Res, Biochem & Mol Biol, Paris, France Univ Liege, Tax Inst, Liege, Belgium Univ Leeds, Sch Mol & Cellular Biol, Leeds, W Yorkshire, England IRCCS Ist Giannina Gaslini, UOC Genet Med, Genoa, Italy Res Diets Inc, Sci, New Brunswick, NJ USA Univ Perugia, Dept Phys & Geol, Perugia, Italy Walter Reed Natl Mil Med Ctr, Cellular Immunol, Bethesda, MD USA Univ Fed Santa Catarina, Biol Sci Ctr, Microbiol Immunol & Parasitol Dept, Florianopolis, SC, Brazil Univ Edinburgh, Royal Infirm, Ctr Liver & Digest Disorders, Edinburgh, Midlothian, Scotland Orion Pharma, Crit Care Proprietary Prod Div, Espoo, Finland MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA Univ Turin, Dept Vet Sci, Turin, Italy Univ G dAnnunzio, Dept Psychol Hlth & Territorial Sci, Chieti, Italy NYU, Sch Med, OB GYN, New York, NY USA Univ Glasgow, Inst Cardiovasc & Med Sci, Glasgow, Lanark, Scotland Univ Turku, Dept Biol, Turku, Finland Tech Univ Berlin, Bioanalyt, Berlin, Germany Univ Goettingen, Inst Phys Biophys 3, Gottingen, Germany Univ Texas MD Anderson Canc Ctr, Inst Appl Canc Sci, Translat Res Adv Therapeut & Innovat Oncol TRACTI, Houston, TX 77030 USA Univ Liege, Life Sci, Liege, Belgium Tarbiat Modares Univ, Fac Med Sci, Dept Toxicol, Tehran, Iran ARS, USDA, Stoneville, MS USA Univ Regensburg, RCI Regensburg Ctr Intervent Immunol, Regensburg, Germany Univ Nottingham, Sch Psychol, Nottingham, England NIH, Pathol Lab, Bethesda, MD 20892 USA Univ Carlos III Madrid, Elect Engn, Madrid, Spain Inst Med Mol, Chem Biol, Lisbon, Portugal Univ Costa Rica, CIET, San Jose, Costa Rica Univ Stavanger, Fac Hlth Sci, Stavanger, Norway Erasmus MC, Urol, Rotterdam, Netherlands Univ Edinburgh, Sch Biol Sci, Edinburgh, Midlothian, Scotland German Res Ctr Environm Hlth GmbH, Helmholtz Zentrum Munchen, Inst Bioinformat & Syst Biol IBIS, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany Leiden Univ, Huygens Kamerlingh Onnes Lab, Leiden, Netherlands Univ Vienna, Nutr Sci, Vienna, Austria Kolling Inst Med Res, Med, St Leonards, NSW, Australia Johns Hopkins Sch Med, Biol Chem, Baltimore, MD USA Univ Montreal, Med Nutr & Microbiome Lab, Montreal, PQ, Canada GlaxoSmithKline, Cell & Gene Therapy, Stevenage, Herts, England Univ Trieste, Life Sci, Trieste, Italy Rhein Westfal TH Aachen, Dept Radiol, Aachen, Germany Univ Duisburg Essen, Univ Hosp Essen, West German Canc Ctr, Dept Med Oncol, Essen, Germany Med Univ Vienna, Obstet & Gynecol, Vienna, Austria FHI 360, Social & Behav Hlth Sci Div, Washington, DC USA KU Leuven VIB, Switch Lab, Leuven, Belgium Bielefeld Univ, Fac Technol, Bielefeld, Germany Capital Med Univ, Beijing Shijitan Hosp, Dept Clin Nutr, Dept Gastrointestinal Surg, Beijing, Peoples R China Meiji Univ, Dept Agr Chem, Kawasaki, Japan Yonsei Univ, Coll Med, Microbiol, Seoul, South Korea Johnson & Johnson EAME, Maidenhead, Berks, England Penn State Coll Med, Pediat, Hershey, PA USA Univ N Carolina, Dept Social Med, Chapel Hill, NC 27515 USA Univ Western Australia, ARC CoE Plant Energy Biol, Perth, WA, Australia Wageningen Univ, Div Human Nutr & Hlth, Wageningen, Netherlands Kings Coll London, Dept Neuroimaging, London, England Univ Murcia, Biochem & Mol Biol, Murcia, Spain Old Dominion Univ, Dept Biol Sci, Norfolk, VA 23529 USA Monash Univ, Biochem & Mol Biol, Melbourne, Vic, Australia Chinese Acad Sci, Inst Genet & Dev Biol, Beijing, Peoples R China Univ Pittsburgh, Pharmacol & Chem Biol, Pittsburgh, PA USA Univ Lausanne, Ctr Integrat Genom, Lausanne, Switzerland Univ Queensland, Sch Pharm, Brisbane, Qld, Australia Leibniz Inst Plant Genet & Crop Plant Res IPK Gat, Genebank, Gatersleben, Germany Piramal Imaging, Res & Dev, Berlin, Germany Univ Leeds, Civil Engn, Leeds, W Yorkshire, England Univ Missouri, Chem & Biochem, St Louis, MO 63121 USA US Geol Survey, Coastal & Marine Geol Program, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA USA Ajinomoto Genet Res Inst, Moscow, Russia Jagiellonian Univ, Fac Biochem Biophys & Biotechnol, Dept Plant Biotechnol, Krakow, Poland Univ Puerto Rico, Engn Sci & Mat, Mayaguez, PR USA Univ Regina, Dept Chem & Biochem, Regina, SK, Canada Argonne Natl Lab, Ctr Nanoscale Mat, 9700 S Cass Ave, Argonne, IL 60439 USA Univ Sunshine Coast, Sunshine Coast Mind & Neurosci Thompson Inst, Sippy Downs, Qld, Australia Chinese Peoples Liberat Army Gen Hosp, Dept Gastroenterol & Hepatol, Beijing, Peoples R China Griffith Univ, Griffith Ctr Social & Cultural Res, Gold Coast, Qld, Australia Tohoku Univ, Inst Dev Aging Canc, Dept Mol Oncol, Sendai, Miyagi, Japan Indiana Univ, Comp Sci, Bloomington, IN USA Fukushima Med Univ, Sch Med, Dept Pulm Med, Fukushima, Japan MEDIVIR AB, Biol, Huddinge, Sweden Western Sydney Univ, Neuroimmunol, Sydney, NSW, Australia Univ Jordan, Nutr & Food Technol, Amman, Jordan Thunen Inst Forest Genet, Fed Res Ctr Rura Areas Forestry & Fisheries, Inst Biodivers, Grosshansdorf, Germany Univ Edinburgh, Inst Cell Biol, Edinburgh, Midlothian, Scotland Univ Edinburgh, Ctr Integrat Physiol, Edinburgh, Midlothian, Scotland Univ Toronto, Struct Genom Consortium, Toronto, ON, Canada Canadian Mem Chiropract Coll, Grad Educ & Res, Toronto, ON, Canada Agilent Technol, R&D, Leuven, Belgium Univ British Columbia, Sch Nursing, Vancouver, BC, Canada Monash Univ, Monash Hlth, Sch Clin Sci, Stroke & Ageing Res,Dept Med, Melbourne, Vic, Australia French Natl Canc Inst, Innovat, Transfer, Biol, Boulogne, France Ludwig Maximilians Univ Munchen, Phys Chem, NanoBioSci, Munich, Germany Bandung Inst Technol, Sch Pharm, Med Chem, Bandung, Indonesia Univ Luxembourg, Life Sci Res Unit, Luxembourg, Luxembourg Lund Univ, Skane Univ Hosp, Dept Gastroenterol, Malmo, Sweden Millennium Hlth, Translat Genet, San Diego, CA USA Aristotle Univ Thessaloniki, Med Dept 2, Clin Res & Evidence Based Med Unit, Thessaloniki, Greece Jan Kochanowski Univ Humanities & Sci, Piotrkow Trybunalski Branch, Dept Psychol, Kielce, Poland McMaster Univ, Engn Phys, Hamilton, ON, Canada Marche Polytech Univ, Dept Agr Food & Environm Sci, Ancona, Italy Kuwait Univ, Fac Med, Microbiol, Kuwait, Kuwait Fujita Hlth Univ, Dept Breast Surg, Toyoake, Aich, Japan North West Reg Spinal Injuries Ctr, Spinal Injuries Ctr, Southport, Merseyside, England Luxembourg Inst Hlth, Competence Ctr Methodol & Stat, Luxembourg, Luxembourg Nestle Inst Hlth Sci SA, Metab Hlth, Ecublens, Vaud, Switzerland Ctr Inflammat Res VIB, Ghent, Belgium Univ Ghent, Dept Biomed Mol Biol, Ghent, Belgium Univ Lisbon, Inst Educ, Curriculo Formacao Prof & Tecnol, Lisbon, Portugal Univ Edinburgh, Ctr Inflammat Res, Edinburgh, Midlothian, Scotland Univ Melbourne, Sch BioSci, Parkville, Vic, Australia Northumbria Univ, Comp & Informat Sci, Newcastle Upon Tyne, Tyne & Wear, England Univ Valencia, Endocrinol, Valencia, Spain INRS, Inst Armand Frappier, Laval, PQ, Canada Univ Laval, INAF, Sch Nutr, Quebec City, PQ, Canada Univ Konstanz, Dept Biol, Constance, Germany Univ Cote dAzur, LAMHESS, Nice, France Scion, Syst Ecol, Christchurch, New Zealand CUNY, Grad Sch Publ Hlth & Hlth Policy, Epidemiol & Biostat, New York, NY 10021 USA Univ Queensland, Sch Dent, Brisbane, Qld, Australia George Inst Global Hlth, Renal & Metab Div, Sydney, NSW, Australia Wuhan Univ, Coll Chem & Mol Sci, Wuhan, Hubei, Peoples R China Griffith Univ, Sch Environm & Sci, Gold Coast, Qld, Australia Univ Minnesota, Radiat Oncol, Minneapolis, MN USA Goethe Univ, Fac Med, Frankfurt, Germany Natl Yunlin Univ Sci & Technol, Dept & Grad Sch Safety & Environm Engn, Touliu, Yunlin, Taiwan Massey Univ, Sch Sport Exercise & Nutr, Auckland, New Zealand Univ Florida, Wildlife Ecol & Conservat, Gainesville, FL USA Bournemouth Univ, Dept Psychol, Poole, Dorset, England Robert Koch Inst, Project Grp P2, Berlin, Germany Univ Edinburgh, MRC Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland Univ Basel, Biozentrum, Basel, Switzerland Univ Wollongong, Sch Med, Wollongong, NSW, Australia Univ Cologne, Inst Human Genet, Cologne, Germany Rural Econ Branch, Econ Res Serv, Washington, DC USA Uivers Bordeaux, CNRS, Inst Neurosci Cognit & Integrat Aquitaine, Bordeaux, France Univ Calif Riverside, Dept Chem & Environm Engn, Riverside, CA 92521 USA Univ Calif Riverside, Mat Sci & Engn Program, Riverside, CA 92521 USA Mackay Med Coll, Dept Med, New Taipei, Taiwan Univ Bern, Div Anim Welf, Bern, Switzerland Oregon Hlth & Sci Univ, Dept Physiol & Pharmacol, Portland, OR 97201 USA Shanghai Univ Tradit Chinese Med, Inst Interdisciplinary Med Sci, Shanghai, Peoples R China McMaster Univ, Biol, Hamilton, ON, Canada Univ S Florida, Dept Cell Biol Microbiol & Mol Biol, Tampa, FL USA Hacettepe Univ, Inst Canc, Med Oncol, Ankara, Turkey City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China Natl Taiwan Univ, Dept Entomol, Taipei, Taiwan Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Ecol Secur, Beijing, Peoples R China Florida State Univ, Inst Mol Biophys, Chem & Biochem, Tallahassee, FL USA Peking Univ, Shenzhen Grad Sch, State Key Lab Chem Oncogen, Lab Computat Chem & Drug Design, Shenzhen, Peoples R China Univ Helsinki, Fac Pharm, Div Pharmaceut Chem & Technol, Drug Res Program, Helsinki, Finland Tohoku Univ, Microbial Biotechnol, Sendai, Miyagi, Japan Tianjin Med Univ, Sch Basical Med Sci, Dept Pharmacol, Tianjin, Peoples R China Dana Farber Canc Inst, Biostat & Computat Biol, Boston, MA 02115 USA Natl Hlth Res Inst, Inst Mol & Genom Med, Zhunan, Taiwan Univ Oxford, Physiol Anat & Genet, Oxford, England George Washington Univ, Phys, Washington, DC USA Univ Nebraska, Sch Biol Sci, Lincoln, NE USA Toronto Gen Hosp, Res Inst, Dept Lab Med & Pathobiol, Toronto, ON, Canada Univ Texas Dallas, Biol Sci, Richardson, TX 75083 USA NYU, Dept Chem, New York, NY USA Shandong Univ, Sch Math & Stat, Jinan, Shandong, Peoples R China Univ Sci & Technol China, Hefei Natl Lab Phys Sci Microscale, Hefei, Anhui, Peoples R China Purdue Univ, Med Chem & Mol Pharmacol, W Lafayette, IN 47907 USA NIBSC, Adv Therapies, Ridge, Herts, England Shanghai Jiao Tong Univ, Ruijin Hosp, Dept Pulm & Crit Care Med, Shanghai, Peoples R China Charite Med Univ Berlin, Dermatol & Allergy, Berlin, Germany Univ Hosp St Etienne, Hematol, St Etienne, France Inland Norway Univ Appl Sci, Inst Biotechnol, Elverum, Norway Univ Jordan, Pediat, Amman, Jordan Inst Pasteur, Mol Mycol Unit, Paris, France Cardiff Univ, Sch Med, Inst Psychol Med & Clin Neurosci, Med Res Council Ctr Neuropsychiat Genet & Genom, Cardiff, S Glam, Wales Zurich Univ Appl Sci, Social Work, Zurich, Switzerland Jawaharlal Nehru Univ, Sch Life Sci, New Delhi, India Univ Burgundy Franche Comte, LE2I, Dijon, France Univ Roehampton, Life Sci, London, England Ghent Univ Hosp, Gen & HPB Surg, Ghent, Belgium Univ Wurzburg, Insect Fungus Symbiosis Lab, Wurzburg, Germany Radboud Univ Nijmegen, Behav Sci Inst, Nijmegen, Netherlands Fraunhofer WKI, Applicat Ctr HOFZET, Hannover, Germany UCL, Struct & Mol Biol, London, England Univ Amsterdam, Dev Psychol, Amsterdam, Netherlands Aalborg Univ, Hlth Sci & Technol, CNAP, SMI, Aalborg, Denmark VA Pittsburgh Healthcare Syst, Ctr Hlth Equity Res & Promot, Pittsburgh, PA USA Cedars Sinai Med Ctr, Neurosurg, Los Angeles, CA 90048 USA Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Guangdong, Peoples R China Dezhou Univ, Shandong Prov Key Lab Biophys, Guangzhou, Guangdong, Peoples R China Maison Teledetection, Inst Rech Dev, UMR Espace DEv, Montpellier, France Xiamen Univ, Sch Life Sci, Xiamen, Fujian, Peoples R China Nanjing Univ, Sch Med, Jinling Hosp, Natl Clin Res Ctr Kidney Dis,Dept Med Imaging, Nanjing, Jiangsu, Peoples R China Univ Kent, Sch Social Policy Sociol & Social Res, Canterbury, Kent, England Univ Fed Minas Gerais, Infect Dis & Trop Med, Belo Horizonte, MG, Brazil Univ Minho, Sch Med, Life & Hlth Sci Res Inst ICVS, Braga, Portugal Univ Montreal, Biochim & Med Mol, Montreal, PQ, Canada Johns Hopkins Bloomberg Sch Publ Hlth, Epidemiol, Baltimore, MD USA Max Planck Inst Biol Ageing, Metab & Genet Regulat Ageing, Cologne, Germany Univ Swaziland, Hlth Sci, Kwaluseni, Eswatini Queensland Univ Technol, Inst Future Environm, Brisbane, Qld, Australia Ctr Sci Monaco, Dept Biol Med, Monaco, Monaco HELIOS Hosp, Urol, Bad Saarow Pieskow, Germany Tech Univ Carolo Wilhelmina Braunschweig, Inst Microbiol, Braunschweig, Germany Univ Barcelona, Barcelona Ctr Maternal Fetal & Neonatal Med, Fetal i D Fetal Med Res Ctr, IDIBAPS BCNatal,Hosp Clin, Barcelona, Spain Univ Barcelona, Hosp St Joan de Deu, Barcelona, Spain Friedrich Loeffler Inst, Inst Bacterial Infect & Zoonoses, Jena, Germany Charite Med Univ Berlin, Neurol, Berlin, Germany Dublin City Univ, Natl Inst Cellular Biotechnol, Mol Therapeut Canc Ireland, Dublin, Ireland Schoen Clin Roseneck, Prien Am Chiemsee, Germany Univ Med Ctr Hamburg Eppendorf, Inst Sex Res & Forens Psychiat, Hamburg, Germany Nankai Univ, Sch Math Sci, Tianjin, Peoples R China Nankai Univ, LPMC, Tianjin, Peoples R China Univ Oxford, Oncol, Oxford, England Royal Holloway Univ London, Class, Egham, Surrey, England Cornell Univ, Clin Sci, Ithaca, NY USA Univ KwaZulu Natal, Pharmaceut Chem, Westville Campus, Durban, South Africa Royal Coll Surgeons Ireland, Med, Dublin, Ireland Univ Oslo, Dept Immunol, Oslo, Norway Bermuda Inst Ocean Sci, Marine Nitrogen Cycling Lab, St Georges, Bermuda Kanazawa Univ, Inst Liberal Arts & Sci, Kanazawa, Ishikawa, Japan World Hlth Org Reg Off Africa, Brazzaville, Rep Congo Univ Hosp BesanCon, Infect Control Dept, Besancon, France Galapagos NV, Clin Dev, Mechelen, Belgium Univ Tasmania, Integrated Marine Observing Syst, Hobart, Tas, Australia Georg August Univ Gottingen, Albrecht von Haller Inst Plant Sci, Dept Systemat Biodivers & Evolut Plants, Gottingen, Germany Univ Occupat & Environm Hlth, Dept Psychiat, Fukuoka, Fukuoka, Japan IMDEA Food, Program Precis Nutr & Aging, Madrid, Spain Radboud Univ Nijmegen, Med Sch, IQHealthcare, Nijmegen, Netherlands Maastricht Univ, Dept Cardiovasc Surg, Maastricht, Netherlands German Diabet Ctr, Inst Clin Biochem & Pathobiochem, Dusseldorf, Germany Juntendo Univ, Grad Sch Med, Dept Radiol, Tokyo, Japan Deakin Univ, Sch Informat Technol, Melbourne, Vic, Australia Max Planck Inst Eusenforschung, Dept Interface Chem & Surface Sci, Dusseldorf, Germany Edge Hill Univ, Dept Psychol, Ormskirk, England Aga Khan Univ, Psychiat, Karachi, Pakistan KRIBB, Korean Bioinformat Ctr, Seoul, South Korea Cardinal Hlth Specialty Solut, Hlth Econ & Outcomes Res, Dallas, TX USA Klinikum Univ Munchen, Div Clin Pharmacol, Munich, Germany Univ Pittsburgh, Neurol Surg, Pittsburgh, PA USA Rhein Westfal TH Aachen, Dept Child & Adolescent Psychiat Psychosomat & Ps, Aachen, Germany Univ Copenhagen, Inst Mol & Cellular Biol, Copenhagen, Denmark St Jude Childrens Res Hosp, Struct Biol, 332 N Lauderdale St, Memphis, TN 38105 USA Royal Shrewsbury Hosp, Colorectal Surg, Shrewsbury, Salop, England Univ Nottingham, Fac Med & Hlth Sci, Nottingham, England Karolinska Inst, Dept Physiol & Pharmacol, Solna, Sweden Chinese Acad Sci, Changchun Inst Appl Chem, State Key Lab Electroanalyt Chem, Jilin, Jilin, Peoples R China Univ British Columbia, Pediat, Vancouver, BC, Canada Chinese Acad Agr Sci, State Key Lab Cotton Biol, Res Base Anyang Inst Technol, Cotton Germplasm Resources,Inst Cotton Res, Beijing, Peoples R China Chinese Univ Hong Kong, Anaesthesia & Intens Care, Hong Kong, Peoples R China Univ Macau, ICMS, 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Dakar, Senegal Cardiff Univ, Div Canc & Genet, Cardiff, S Glam, Wales Ctr Expertise & Biol Diagnost Cameroon, Food Safety & Environm Microbiol, Yaounde, Cameroon Swiss Fed Labs Mat Sci & Technol, Lab Thin Films & Photovolta, Dubendorf, Switzerland Assiut Univ, Assiut Urol & Nephrol Hosp, Fac Med, Assiut, Egypt UCL, GEE, London, England UCL, IHA, London, England Univ Derby, Univ Derby Online Learning, Derby, England SUNY Stony Brook, Family Populat & Prevent Med, Stony Brook, NY 11794 USA Walter & Eliza Hall Inst Med Res, Mol Med Div, Melbourne, Vic, Australia Newcastle Univ, Northern Inst Canc Res, Newcastle Upon Tyne, Tyne & Wear, England German Ctr Neurodegenerat Dis, Clin Dementia Res, Bonn, Germany Sorbonne Univ, CNRS, UMR 7144, Stn Biol, Paris, France Univ Barcelona, Odontoestomatol, Barcelona, Spain Janelia Res Campus, Comp Sci, Ashburn, VA USA Univ Oxford, Ctr Trop Med & Global Hlth, Oxford, England Univ Bern, ARTORG Ctr Biomed Engn Res, Bern, Switzerland Australian Natl Univ, Eccles Inst Neurosci, John Curtain Sch Med Res, Canberra, ACT, Australia John Innes Ctr, Metab Biol, Norwich, Norfolk, England USDA ARS, Genom & Bioinformat Res Unit, Raleigh, NC 27695 USA Med Univ Graz, Inst Med Informat Stat & Documentat, Holzinger Grp, Graz, Austria Ajou Univ, Pharm, Suwon, South Korea City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Peoples R China Univ British Columbia, Sch Kinseiol, Vancouver, BC, Canada Univ Copenhagen, Marine Biol Sect, Dept Biol, Copenhagen, Denmark Univ Vienna, Dept Commun, Vienna, Austria Univ Dundee, Sch Social Sci, Dundee, Scotland Tech Univ Dresden, Inst Bot, Dresden, Germany Univ Oxford, Div Struct Biol, Oxford, England Natl Univ Hlth Syst, Med, Singapore, Singapore Univ Canterbury, Sch Biol Sci, Christchurch, New Zealand Univ Hosp Southern Denmark, Focused Res Unit Mol Diagnost & Clin Res, Odense, Denmark Univ Oxford, Primary Care Hlth Sci, Oxford, England Baylor Coll Med, Verna & Marrs McLean Dept Biochem & Mol Biol, Houston, TX 77030 USA Adnan Menderes Univ Aydin, Fac Nursing, Dept Publ Hlth Nursing, Aydin, Turkey Oasi Res Inst IRCCS, Dept Neurol IC, Troina, Italy Purdue Univ, Weldon Sch Biomed Engn, W Lafayette, IN 47907 USA Kings Coll London, Kings Ctr Mil Hlth Res, London, England LSHTM, Dept Infect Dis Epidemiol, London, England Leibniz Univ Hannover, BMWZ Organ Chem, Hannover, Germany Xi An Jiao Tong Univ, Sch Basic Med Sci, Dept Physiol & Pathophysiol, Xian, Shaanxi, Peoples R China Univ South Australia, Sch Pharm & Med Sci, Adelaide, SA, Australia Univ Fed Santa Catarina, Dept Phys Educ, Florianopolis, SC, Brazil Southern Med Univ, Nanfang Hosp, Dept Oncol, Guangzhou, Guangdong, Peoples R China Stanford Univ, Hansen Expt Phys Lab, Palo Alto, CA 94304 USA Shenzhen Univ, Affiliated Hosp 1, Shenzhen Peoples Hosp 2, Inst Translat Med, Shenzhen, Guangdong, Peoples R China Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Peoples R China UCL, Dept Mech Engn, London, England ASTAR, Singapore Immunol Network, Lab Microbial Immun, Singapore, Singapore Cent South Univ, State Key Lab Powder Met, Changsha, Hunan, Peoples R China Univ Aberdeen, Inst Appl Hlth Sci, Aberdeen, Scotland Univ Bridgeport, Biomed Engn, Bridgeport, CT 06601 USA Texas Tech Univ, Hlth Sci Ctr, Pharmaceut Sci, Lubbock, TX 79430 USA Univ Montana, Ecosyst & Conservat Sci, Missoula, MT 59812 USA Univ Goettingen, Dept Syst Neurosci, Gottingen, Germany NHLBI, Lab Syst Genet, Bldg 10, Bethesda, MD 20892 USA Cleveland Clin, Lou Ruvo Ctr Brain Hlth, Imaging, Las Vegas, NV USA Flinders Univ S Australia, Coll Nursing & Hlth Sci, Nutr & Dietet, Adelaide, SA, Australia Univ Padua, Dept Math, Padua, Italy Lund Univ, Fac Law, Lund, Sweden Univ Gothenburg, Dept Microbiol & Immunol, Gothenburg, Sweden NARO, Kachwekano Zardi, Entebbe, Uganda Natl Yunlin Univ Sci & Technol, Bachelor Program Interdisciplinary Studies, Touliu, Yunlin, Taiwan Aarhus Univ, Dept Biomed, Danish Res Inst Translat Neurosci DANDRITE, Aarhus, Denmark Eduardo Mondlane Univ, Math & Comp Sci, Maputo, Mozambique Univ Bern, Dept Old Age Psychiat & Psychotherapy, Bern, Switzerland RAS, Inst Cytol, Lab Cytol Unicellular Organisms, St Petersburg, Russia Beijing Inst Technol, Sch Chem & Chem Engn, Beijing, Peoples R China Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld, Australia Fraunhofer Inst Toxicol & Expt Med ITEM, Inhalat Toxicol, Hannover, Germany Univ Hong Kong, Publ Hlth, Hong Kong, Peoples R China Univ Hlth Network, Anesthesia & Pain Med, Toronto, ON, Canada Univ Toronto, Toronto, ON, Canada Univ Bath, Dept Hlth, Bath, Avon, England Univ Copenhagen, Computat & RNA Biol, Copenhagen, Denmark Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS, Canada Goethe Univ, CEF MC, BMLS, Phys Biol, Frankfurt, Germany Albert Einstein Coll Med, Anat & Struct Biol, New York, NY USA Queensland Govt, Dept Environm & Sci, Brisbane, Qld, Australia Uppsala Univ, Vasc Surg Sect, Dept Surg Sci, Uppsala, Sweden Childrens Canc Hosp, Res, Cairo, Egypt Leibniz Inst Nat Prod Res & Infect Biol, Bio Pilot Plant, Jena, Germany Duy Tan Univ, Inst Res & Dev, Da Nang, Vietnam Univ Helsinki, Helsinki Inst Life Sci HiLIFE, Helsinki, Finland Univ Queensland, Australian Inst Bioengn & Nanotechnol, Brisbane, Qld, Australia George Inst Global Hlth, Sydney, NSW, Australia Griffith Univ, Griffith Inst Drug Discovery, Brisbane, Qld, Australia Dezhou Univ, Coll Phys & Elect Informat, Shandong Prov Key Lab Biophys, Dezhou, Peoples R China Henan Agr Univ, Coll Life Sci, Zhengzhou, Henan, Peoples R China Univ Tokyo, Publ Hlth, Tokyo, Japan Sun Yat Sen Univ, Affiliated Hosp 1, Guangzhou, Guangdong, Peoples R China Univ Illinois, Dept Med, Chicago, IL USA Beijing Inst Microbiol & Epidemiol, State Key Lab Pathogen & Biosecur, Beijing, Peoples R China Minist Hlth, Key Lab Neonatal Dis, Shanghai, Peoples R China Covenant Univ, Dept Phys, Ota, Nigeria Prince Sattam Bin Abdulaziz Univ, Dept Phys Therapy & Hlth Rehabil, Al Kharj, Saudi Arabia Lund Univ, Cognit Sci, Malmo, Sweden Natl Open Univ Nigeria, Dept Publ & Environm Hlth, Abuja, Nigeria Peking Univ, Sch Publ Hlth, Dept Lab Sci & Technol, Beijing, Peoples R China Univ Sydney, Sch Publ Hlth, Menzies Ctr Hlth Policy, Sydney, NSW, Australia Univ Auckland, Dept Elect & Comp Engn, Auckland, New Zealand Beijing Univ Chinese Med, Res Ctr TCM Informat Engn, Beijing, Peoples R China Osped Niguarda Ca Granda, Cardiac Surg, Milan, Italy Univ Vet Med, Clin Horses, Hannover, Germany Harbin Med Univ, Lab Med Genet, Harbin, Heilongjiang, Peoples R China Univ Saskatchewan, Dept Psychol, Saskatoon, SK, Canada Univ Coimbra, Ctr Studies Geog & Spatial Planning CEGOT, Coimbra, Portugal Univ Groningen, Univ Med Ctr Groningen, Epidemiol, Groningen, Netherlands South Cent High Specialty Hosp, Dept Neurol & Neurosurg, Pemex, Mexico Shandong Agr Univ, Coll Informat Sci & Engn, Tai An, Shandong, Peoples R China Curtin Univ, Natl Drug Res Inst, Perth, WA, Australia Wageningen Bioveterinary Res, Bacteriol & Epidemiol, Lelystad, Netherlands Guangdong Second Prov Gen Hosp, Dept Rheumatol & Immunol, Guangzhou, Guangdong, Peoples R China Erasmus MC, Biomed Rngineering, Rotterdam, Netherlands Hiroshima Univ, Grad Sch Biomed & Hlth Sci, Hiroshima, Japan Univ Iceland, Sch Hlth Sci, Reykjavik, Iceland Ohio State Univ, Mat Sci & Engn, Columbus, OH 43210 USA Kathmandu Univ, Sch Med Sci, Dept Physiotherapy, Dhulikhel, Nepal Univ Queensland, Sch Biomed Sci, Brisbane, Qld, Australia Fraunhofer MEVIS, Image Guided Therapies, Bremen, Germany Natl Univ Hlth Syst, Haematol Oncol, Singapore, Singapore Sun Yat Sen Univ, Canc Ctr, Breast Oncol, Guangzhou, Guangdong, Peoples R China Med Coll Wisconsin, Pharmacol & Toxicol, Wauwatosa, WI USA Queensland Univ Technol, Sci & Engn Fac, Sch Chem Phys & Mech Engn, Brisbane, Qld, Australia Univ Turin, Dept Mol Biotechnol & Hlth Sci, Turin, Italy Univ Tehran Med Sci, Sch Rehabil, Physiotherapy Dept, Tehran, Iran Univ Helsinki, Dept Forest Sci, Helsinki, Finland Univ Messina, Human Pathol, Messina, Italy AO Papardo Hosp Messina, Messina, Italy Univ Ibadan, Coll Med, Inst Child Hlth, Ibadan, Nigeria King Faisal Univ, Coll Med, Fac Ophthalmol, Al Hasa, Saudi Arabia Univ Stirling, Inst Social Mkt, Stirling, Scotland Saveh Univ Med Sci, Social Determinants Hlth Res Ctr, Saveh, Iran Gakujutsu Shien Co Ltd, Tokyo, Japan Chinese Acad Sci, Inst Geochem, Guiyang, Guizhou, Peoples R China Univ Plymouth, Med Sch, Plymouth, Devon, England CHU Toulouse, Immunol, Toulouse, France Azorean Biodivers Grp, Ctr Ecol Evolut & Environm Changes, Azores, Portugal Univ Acores, Azores, Portugal RIKEN, Ctr Integrat Med Sci, Yokohama, Kanagawa, Japan Peking Univ, Sch Publ Hlth, Dept Global Hlth, Beijing, Peoples R China Chang Gung Univ, Chang Gung Mem Hosp, Dept Neurol, Linkou Med Ctr, Taoyuan, Taiwan Chang Gung Univ, Coll Med, Taoyuan, Taiwan Univ Malawi, Coll Med, Biomed Sci Dept, Blantyre, Malawi Univ Malawi, Coll Med, Pharm Dept, Blantyre, Malawi Bioself Commun, Biocurat, Marseille, France Peking Univ, Hosp 3, Dept Neurol, Beijing, Peoples R China Ahmadu Bello Univ, Fac Basic Clin Sci, Coll Hlth Sci, Dept Pathol, Zaria, Nigeria Dalhousie Univ, Dept Anesthesia Pain Management & Perioperat Med, Halifax, NS, Canada VisMederi Srl, Siena, Italy UCL, Canc Res UK, London, England UCL, UCL Canc Trials Ctr, London, England Univ Ottawa, Family Med, Ottawa, ON, Canada China Agr Univ, Coll Engn, Beijing, Peoples R China Leiden Univ, Leiden Acad Ctr Drug Res, Div Drug Discovery & Safety, Leiden, Netherlands Sun Yat Sen Univ, Affiliated Hosp 1, Dept Intervent Radiol, Guangzhou, Guangdong, Peoples R China Amer Univ Beirut, Med Ctr, Infect Dis, Beirut, Lebanon Sheffield Hallam Univ, Dept Social Work Social Care & Community Studies, Sheffield, S Yorkshire, England Mechnikov Res Inst Vaccines & Sera, Viral Hepatitis, Moscow, Russia Univ Ottawa, Pediat, Ottawa, ON, Canada Vreden Russian Res Inst Traumatol & Orthopaed, Dept Wound Infect Treatment & Prevent, St Petersburg, Russia Hangzhou Ctr Dis Control & Prevent, Dept TB Control & Prevent, Hangzhou, Zhejiang, Peoples R China Kaohsiung Med Univ, Dept Biotechnol, Kaohsiung, Taiwan Zoetis, Diagnost, Kalamazoo, MI USA Aintree Univ Hosp NHS Fdn Trust, Head & Neck Oncol Res, Liverpool, Merseyside, England Wrightington Hosp, Trauma & Orthopaed, Manchester, Lancs, England Loyola Univ, Med Ctr, Dept Psychiat, 2160 S 1st Ave, Maywood, IL 60153 USA Atkins Vet Serv, Microbiol, Calgary, AB, Canada Univ Porto, FADEUP, CIAFEL, Porto, Portugal Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore, Singapore Kangwon Natl Univ, Coll Biotechnol & Biosci, Dept Food Sci & Biotechnol, Chunchon, South Korea Kakatiya Med Coll, Internal Med, Warangal, Telangana, India Univ Antioquia, Vet Med Sch, CIBAV Res Grp, Medellin, Colombia IISER, Dept Phys, Soft & Act Matter Grp, Tirupati 517507, Andhra Pradesh, India Univ Rosario, Sch Med & Hlth, Ctr Studies Phys Activ Measurements, Bogota, Colombia Univ Hosp Essen, Cardiol & Vasc Med, Essen, Germany Univ Hosp Basel, Endocrinol, Basel, Switzerland Univ Tubingen, Inst Med Genet & Appl Genom, Tubingen, Germany Univ Hosp Munster, Div Gen Internal Med Nephrol & Rheumatolog, Dept Med D, Munster, Germany Univ Kentucky, Dept Nephrol, Lexington, KY USA Univ Freiburg, Dept Anaesthesiol & Crit Care, Med Ctr, Freiburg, Germany Univ Calif Irvine, Dept Med, Orange, CA 92668 USA Univ Hosp Leuven, Dept Urol, Leuven, Belgium Chinese Acad Sci, Coll Life Sci, Beijing, Peoples R China Univ Florida, Orthopaed & Rehabil, Gainesville, FL USA Chongqing Med Univ, Affiliated Hosp 1, Chongqing Key Lab Mol Oncol & Epigenet, Chongqing, Peoples R China Tsinghua Univ, Dept Chem Engn, Beijing, Peoples R China Yonsei Univ, Coll Med, Dept Pharmacol, Seoul, South Korea Childrens Hosp Kings Daughters, Eastern Virginia Med Sch, Dept Pediat, Norfolk, VA USA China Three Gorges Univ, Coll Sci, Dept Math, Yichang, Peoples R China Xiangtan Univ, Coll Informat Engn, Xiangtan, Hunan, Peoples R China Univ Hlth Network, Mood Disorders & Psychopharmacol, Toronto, ON, Canada Sao Paulo State Univ UNESP, Dept Anim Sci, Sao Paulo, Brazil Sao Paulo State Univ, Vet Clin, Sao Paulo, Brazil
Published: 2019
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22. The α-to-β Conformational Transition of Alzheimer's Aβ-(1-42) Peptide in Aqueous Media is Reversible: A Step by Step Conformational Analysis Suggests the Location of β Conformation Seeding

Author: Tomaselli, S., Esposito, V., Vangone, P., van Nuland, N.A.J., Bonvin, A.M.J.J., Guerrini, R., Tancredi, T., Temussi, P.A., Picone, D., NMR-spectroscopie, Dep Scheikunde, Tomaselli, Simona, Esposito, Veronica, Vangone, Paolo, VAN NULAND, Naj, Bonvin, Amjj, Guerrini, R, Tancredi, T, Temussi, PIERO ANDREA, and Picone, Delia
Subjects: fibrils, Models, Molecular, Circular dichroism, Propanols, Stereochemistry, Peptide, Biochemistry, Protein Structure, Secondary, Turn (biochemistry), NMR spectroscopy, Protein structure, Alzheimer Disease, Taverne, Native state, Computer Simulation, Nuclear Magnetic Resonance, Biomolecular, Molecular Biology, chemistry.chemical_classification, Amyloid beta-Peptides, Chemistry, Circular Dichroism, Organic Chemistry, Water, Nuclear magnetic resonance spectroscopy, Alzheimer's disease, molecular dynamics, Peptide Fragments, Protein Structure, Tertiary, Crystallography, Helix, Molecular Medicine, Algorithms, Alpha helix
Abstract: Current views of the role of beta-amyloid (Abeta) peptide fibrils range from regarding them as the cause of Alzheimer's pathology to having a protective function. In the last few years, it has also been suggested that soluble oligomers might be the most important toxic species. In all cases, the study of the conformational properties of Abeta peptides in soluble form constitutes a basic approach to the design of molecules with "antiamyloid" activity. We have experimentally investigated the conformational path that can lead the Abeta-(1-42) peptide from the native state, which is represented by an alpha helix embedded in the membrane, to the final state in the amyloid fibrils, which is characterized by beta-sheet structures. The conformational steps were monitored by using CD and NMR spectroscopy in media of varying polarities. This was achieved by changing the composition of water and hexafluoroisopropanol (HFIP). In the presence of HFIP, beta conformations can be observed in solutions that have very high water content (up to 99 % water; v/v). These can be turned back to alpha helices simply by adding the appropriate amount of HFIP. The transition of Abeta-(1-42) from alpha to beta conformations occurs when the amount of water is higher than 80 % (v/v). The NMR structure solved in HFIP/H2O with high water content showed that, on going from very apolar to polar environments, the long N-terminal helix is essentially retained, whereas the shorter C-terminal helix is lost. The complete conformational path was investigated in detail with the aid of molecular-dynamics simulations in explicit solvent, which led to the localization of residues that might seed beta conformations. The structures obtained might help to find regions that are more affected by environmental conditions in vivo. This could in turn aid the design of molecules able to inhibit fibril deposition or revert oligomerization processes.
Published: 2006
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23. Predicting binding events in very flexible, allosteric, multi-domain proteins.

Author: Basciu A, Athar M, Kurt H, Neville C, Malloci G, Muredda FC, Bosin A, Ruggerone P, Bonvin AMJJ, and Vargiu AV
Abstract: Knowledge of the structures formed by proteins and small molecules is key to understand the molecular principles of chemotherapy and for designing new and more effective drugs. During the early stage of a drug discovery program, it is customary to predict ligand-protein complexes in silico , particularly when screening large compound databases. While virtual screening based on molecular docking is widely used for this purpose, it generally fails in mimicking binding events associated with large conformational changes in the protein, particularly when the latter involve multiple domains. In this work, we describe a new methodology to generate bound-like conformations of very flexible and allosteric proteins bearing multiple binding sites by exploiting only information on the unbound structure and the putative binding sites. The protocol is validated on the paradigm enzyme adenylate kinase, for which we generated a significant fraction of bound-like structures. A fraction of these conformations, employed in ensemble-docking calculations, allowed to find native-like poses of substrates and inhibitors (binding to the active form of the enzyme), as well as catalytically incompetent analogs (binding the inactive form). Our protocol provides a general framework for the generation of bound-like conformations of challenging drug targets that are suitable to host different ligands, demonstrating high sensitivity to the fine chemical details that regulate protein's activity. We foresee applications in virtual screening, in the prediction of the impact of amino acid mutations on structure and dynamics, and in protein engineering., Competing Interests: Conflict of interest disclosure H.K. is a recipient of a Ph.D. fellowship co-funded by the University and Research Italian Ministry and by the company AngeliniPharma S.p.A. under the program “Programma Operativo Nazionale FSE-FESR Ricerca e Innovazione 2014–2020”, Azione I.1 “Dottorati Innovativi con caratterizzazione industriale”.
Published: 2024
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24. The HADDOCK2.4 web server for integrative modeling of biomolecular complexes.

Author: Honorato RV, Trellet ME, Jiménez-García B, Schaarschmidt JJ, Giulini M, Reys V, Koukos PI, Rodrigues JPGLM, Karaca E, van Zundert GCP, Roel-Touris J, van Noort CW, Jandová Z, Melquiond ASJ, and Bonvin AMJJ
Subjects: Models, Molecular, Computational Biology methods, Macromolecular Substances chemistry, Antigen-Antibody Complex chemistry, Nucleosomes chemistry, Software, Internet
Abstract: Interactions between macromolecules, such as proteins and nucleic acids, are essential for cellular functions. Experimental methods can fail to provide all the information required to fully model biomolecular complexes at atomic resolution, particularly for large and heterogeneous assemblies. Integrative computational approaches have, therefore, gained popularity, complementing traditional experimental methods in structural biology. Here, we introduce HADDOCK2.4, an integrative modeling platform, and its updated web interface ( https://wenmr.science.uu.nl/haddock2.4 ). The platform seamlessly integrates diverse experimental and theoretical data to generate high-quality models of macromolecular complexes. The user-friendly web server offers automated parameter settings, access to distributed computing resources, and pre- and post-processing steps that enhance the user experience. To present the web server's various interfaces and features, we demonstrate two different applications: (i) we predict the structure of an antibody-antigen complex by using NMR data for the antigen and knowledge of the hypervariable loops for the antibody, and (ii) we perform coarse-grained modeling of PRC1 with a nucleosome particle guided by mutagenesis and functional data. The described protocols require some basic familiarity with molecular modeling and the Linux command shell. This new version of our widely used HADDOCK web server allows structural biologists and non-experts to explore intricate macromolecular assemblies encompassing various molecule types., (© 2024. Springer Nature Limited.)
Published: 2024
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25. Modeling Protein-Glycan Interactions with HADDOCK.

Author: Ranaudo A, Giulini M, Pelissou Ayuso A, and Bonvin AMJJ
Subjects: Protein Binding, Protein Conformation, Binding Sites, Polysaccharides chemistry, Polysaccharides metabolism, Proteins chemistry, Proteins metabolism, Molecular Docking Simulation
Abstract: The term glycan refers to a broad category of molecules composed of monosaccharide units linked to each other in a variety of ways, whose structural diversity is related to different functions in living organisms. Among others, glycans are recognized by proteins with the aim of carrying information and for signaling purposes. Determining the three-dimensional structures of protein-glycan complexes is essential both for the understanding of the mechanisms glycans are involved in and for applications such as drug design. In this context, molecular docking approaches are of undoubted importance as complementary approaches to experiments. In this study, we show how high ambiguity-driven DOCKing (HADDOCK) can be efficiently used for the prediction of protein-glycan complexes. Using a benchmark of 89 complexes, starting from their bound or unbound forms, and assuming some knowledge of the binding site on the protein, our protocol reaches a 70% and 40% top 5 success rate on bound and unbound data sets, respectively. We show that the main limiting factor is related to the complexity of the glycan to be modeled and the associated conformational flexibility.
Published: 2024
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26. Accelerating protein-protein interaction screens with reduced AlphaFold-Multimer sampling.

Author: Bellinzona G, Sassera D, and Bonvin AMJJ
Abstract: Motivation: Discovering new protein-protein interactions (PPIs) across entire proteomes offers vast potential for understanding novel protein functions and elucidate system properties within or between an organism. While recent advances in computational structural biology, particularly AlphaFold-Multimer, have facilitated this task, scaling for large-scale screenings remains a challenge, requiring significant computational resources., Results: We evaluated the impact of reducing the number of models generated by AlphaFold-Multimer from five to one on the method's ability to distinguish true PPIs from false ones. Our evaluation was conducted on a dataset containing both intra- and inter-species PPIs, which included proteins from bacterial and eukaryotic sources. We demonstrate that reducing the sampling does not compromise the accuracy of the method, offering a faster, efficient, and environmentally friendly solution for PPI predictions., Availability and Implementation: The code used in this article is available at https://github.com/MIDIfactory/AlphaFastPPi. Note that the same can be achieved using the latest version of AlphaPulldown available at https://github.com/KosinskiLab/AlphaPulldown., Competing Interests: None declared., (© The Author(s) 2024. Published by Oxford University Press.)
Published: 2024
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27. Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking.

Author: Giulini M, Schneider C, Cutting D, Desai N, Deane CM, and Bonvin AMJJ
Subjects: Software, Antibodies chemistry, Antigens chemistry, Antigens immunology, Epitopes chemistry, Epitopes immunology, Molecular Docking Simulation, Antigen-Antibody Complex chemistry, Machine Learning
Abstract: Motivation: Antibody-antigen complex modelling is an important step in computational workflows for therapeutic antibody design. While experimentally determined structures of both antibody and the cognate antigen are often not available, recent advances in machine learning-driven protein modelling have enabled accurate prediction of both antibody and antigen structures. Here, we analyse the ability of protein-protein docking tools to use machine learning generated input structures for information-driven docking., Results: In an information-driven scenario, we find that HADDOCK can generate accurate models of antibody-antigen complexes using an ensemble of antibody structures generated by machine learning tools and AlphaFold2 predicted antigen structures. Targeted docking using knowledge of the complementary determining regions on the antibody and some information about the targeted epitope allows the generation of high-quality models of the complex with reduced sampling, resulting in a computationally cheap protocol that outperforms the ZDOCK baseline., Availability and Implementation: The source code of HADDOCK3 is freely available at github.com/haddocking/haddock3. The code to generate and analyse the data is available at github.com/haddocking/ai-antibodies. The full runs, including docking models from all modules of a workflow have been deposited in our lab collection (data.sbgrid.org/labs/32/1139) at the SBGRID data repository., (© The Author(s) 2024. Published by Oxford University Press.)
Published: 2024
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28. CAPRI-Q: The CAPRI resource evaluating the quality of predicted structures of protein complexes.

Author: Collins KW, Copeland MM, Brysbaert G, Wodak SJ, Bonvin AMJJ, Kundrotas PJ, Vakser IA, and Lensink MF
Subjects: Models, Molecular, Computational Biology methods, Molecular Docking Simulation, Algorithms, Protein Interaction Mapping methods, Protein Binding, Software, Databases, Protein, Protein Conformation, Proteins chemistry
Abstract: Protein interactions are essential for cellular processes. In recent years there has been significant progress in computational prediction of 3D structures of individual protein chains, with the best-performing algorithms reaching sub-Ångström accuracy. These techniques are now finding their way into the prediction of protein interactions, adding to the existing modeling approaches. The community-wide Critical Assessment of Predicted Interactions (CAPRI) has been a catalyst for the development of procedures for the structural modeling of protein assemblies by organizing blind prediction experiments. The predicted structures are assessed against unpublished experimentally determined structures using a set of metrics with proven robustness that have been established in the CAPRI community. In addition, several advanced benchmarking databases provide targets against which users can test docking and assembly modeling software. These include the Protein-Protein Docking Benchmark, the CAPRI Scoreset, and the Dockground database, all developed by members of the CAPRI community. Here we present CAPRI-Q, a stand-alone model quality assessment tool, which can be freely downloaded or used via a publicly available web server. This tool applies the CAPRI metrics to assess the quality of query structures against given target structures, along with other popular quality metrics such as DockQ, TM-score and l-DDT, and classifies the models according to the CAPRI model quality criteria. The tool can handle a variety of protein complex types including those involving peptides, nucleic acids, and oligosaccharides. The source code is freely available from https://gitlab.in2p3.fr/cmsb-public/CAPRI-Q and its web interface through the Dockground resource at https://dockground.compbio.ku.edu/assessment/., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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29. ARCTIC-3D: automatic retrieval and clustering of interfaces in complexes from 3D structural information.

Author: Giulini M, Honorato RV, Rivera JL, and Bonvin AMJJ
Subjects: Cluster Analysis, Databases, Protein, Entropy, Data Mining, Prokaryotic Cells
Abstract: The formation of a stable complex between proteins lies at the core of a wide variety of biological processes and has been the focus of countless experiments. The huge amount of information contained in the protein structural interactome in the Protein Data Bank can now be used to characterise and classify the existing biological interfaces. We here introduce ARCTIC-3D, a fast and user-friendly data mining and clustering software to retrieve data and rationalise the interface information associated with the protein input data. We demonstrate its use by various examples ranging from showing the increased interaction complexity of eukaryotic proteins, 20% of which on average have more than 3 different interfaces compared to only 10% for prokaryotes, to associating different functions to different interfaces. In the context of modelling biomolecular assemblies, we introduce the concept of "recognition entropy", related to the number of possible interfaces of the components of a protein-protein complex, which we demonstrate to correlate with the modelling difficulty in classical docking approaches. The identified interface clusters can also be used to generate various combinations of interface-specific restraints for integrative modelling. The ARCTIC-3D software is freely available at github.com/haddocking/arctic3d and can be accessed as a web-service at wenmr.science.uu.nl/arctic3d., (© 2024. The Author(s).)
Published: 2024
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30. DeepRank-GNN-esm: a graph neural network for scoring protein-protein models using protein language model.

Author: Xu X and Bonvin AMJJ
Abstract: Motivation: Protein-Protein interactions (PPIs) play critical roles in numerous cellular processes. By modelling the 3D structures of the correspond protein complexes valuable insights can be obtained, providing, e.g. starting points for drug and protein design. One challenge in the modelling process is however the identification of near-native models from the large pool of generated models. To this end we have previously developed DeepRank-GNN, a graph neural network that integrates structural and sequence information to enable effective pattern learning at PPI interfaces. Its main features are related to the Position Specific Scoring Matrices (PSSMs), which are computationally expensive to generate, significantly limits the algorithm's usability., Results: We introduce here DeepRank-GNN-esm that includes as additional features protein language model embeddings from the ESM-2 model. We show that the ESM-2 embeddings can actually replace the PSSM features at no cost in-, or even better performance on two PPI-related tasks: scoring docking poses and detecting crystal artifacts. This new DeepRank version bypasses thus the need of generating PSSM, greatly improving the usability of the software and opening new application opportunities for systems for which PSSM profiles cannot be obtained or are irrelevant (e.g. antibody-antigen complexes)., Availability and Implementation: DeepRank-GNN-esm is freely available from https://github.com/DeepRank/DeepRank-GNN-esm., Competing Interests: None declared., (© The Author(s) 2024. Published by Oxford University Press.)
Published: 2024
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31. Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment.

Author: Lensink MF, Brysbaert G, Raouraoua N, Bates PA, Giulini M, Honorato RV, van Noort C, Teixeira JMC, Bonvin AMJJ, Kong R, Shi H, Lu X, Chang S, Liu J, Guo Z, Chen X, Morehead A, Roy RS, Wu T, Giri N, Quadir F, Chen C, Cheng J, Del Carpio CA, Ichiishi E, Rodriguez-Lumbreras LA, Fernandez-Recio J, Harmalkar A, Chu LS, Canner S, Smanta R, Gray JJ, Li H, Lin P, He J, Tao H, Huang SY, Roel-Touris J, Jimenez-Garcia B, Christoffer CW, Jain AJ, Kagaya Y, Kannan H, Nakamura T, Terashi G, Verburgt JC, Zhang Y, Zhang Z, Fujuta H, Sekijima M, Kihara D, Khan O, Kotelnikov S, Ghani U, Padhorny D, Beglov D, Vajda S, Kozakov D, Negi SS, Ricciardelli T, Barradas-Bautista D, Cao Z, Chawla M, Cavallo L, Oliva R, Yin R, Cheung M, Guest JD, Lee J, Pierce BG, Shor B, Cohen T, Halfon M, Schneidman-Duhovny D, Zhu S, Yin R, Sun Y, Shen Y, Maszota-Zieleniak M, Bojarski KK, Lubecka EA, Marcisz M, Danielsson A, Dziadek L, Gaardlos M, Gieldon A, Liwo A, Samsonov SA, Slusarz R, Zieba K, Sieradzan AK, Czaplewski C, Kobayashi S, Miyakawa Y, Kiyota Y, Takeda-Shitaka M, Olechnovic K, Valancauskas L, Dapkunas J, Venclovas C, Wallner B, Yang L, Hou C, He X, Guo S, Jiang S, Ma X, Duan R, Qui L, Xu X, Zou X, Velankar S, and Wodak SJ
Subjects: Protein Conformation, Protein Binding, Molecular Docking Simulation, Computational Biology methods, Software, Protein Interaction Mapping methods, Algorithms
Abstract: We present the results for CAPRI Round 54, the 5th joint CASP-CAPRI protein assembly prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo-trimers, 13 heterodimers including 3 antibody-antigen complexes, and 7 large assemblies. On average ~70 CASP and CAPRI predictor groups, including more than 20 automatics servers, submitted models for each target. A total of 21 941 models submitted by these groups and by 15 CAPRI scorer groups were evaluated using the CAPRI model quality measures and the DockQ score consolidating these measures. The prediction performance was quantified by a weighted score based on the number of models of acceptable quality or higher submitted by each group among their five best models. Results show substantial progress achieved across a significant fraction of the 60+ participating groups. High-quality models were produced for about 40% of the targets compared to 8% two years earlier. This remarkable improvement is due to the wide use of the AlphaFold2 and AlphaFold2-Multimer software and the confidence metrics they provide. Notably, expanded sampling of candidate solutions by manipulating these deep learning inference engines, enriching multiple sequence alignments, or integration of advanced modeling tools, enabled top performing groups to exceed the performance of a standard AlphaFold2-Multimer version used as a yard stick. This notwithstanding, performance remained poor for complexes with antibodies and nanobodies, where evolutionary relationships between the binding partners are lacking, and for complexes featuring conformational flexibility, clearly indicating that the prediction of protein complexes remains a challenging problem., (© 2023 The Authors. Proteins: Structure, Function, and Bioinformatics published by Wiley Periodicals LLC.)
Published: 2023
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32. Improving the quality of co-evolution intermolecular contact prediction with DisVis.

Author: van Keulen SC and Bonvin AMJJ
Subjects: Software, Computational Biology methods
Abstract: The steep rise in protein sequences and structures has paved the way for bioinformatics approaches to predict residue-residue interactions in protein complexes. Multiple sequence alignments are commonly used in contact predictions to identify co-evolving residues. These contacts, however, often include false positives (FPs), which may impair their use to predict three dimensional structures of biomolecular complexes and affect the accuracy of the generated models. Previously, we have developed DisVis to identify FP in mass spectrometry cross-linking data. DisVis allows to assess the accessible interaction space between two proteins consistent with a set of distance restraints. Here, we investigate if a similar approach could be applied to co-evolution predicted contacts in order to improve their precision prior to using them for modeling. We analyze co-evolution contact predictions with DisVis for a set of 26 protein-protein complexes. The DisVis-reranked and the original co-evolution contacts are then used to model the complexes with our integrative docking software HADDOCK using different filtering scenarios. Our results show that HADDOCK is robust with respect to the precision of the predicted contacts due to the 50% random contact removal during docking and can enhance the quality of docking predictions when combined with DisVis filtering for low precision contact data. DisVis can thus have a beneficial effect on low quality data, but overall HADDOCK can accommodate FP restraints without negatively impacting the quality of the resulting models. Other more precision-sensitive docking protocols might, however, benefit from the increased precision of the predicted contacts after DisVis filtering., (© 2023 The Authors. Proteins: Structure, Function, and Bioinformatics published by Wiley Periodicals LLC.)
Published: 2023
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33. An antibiotic from an uncultured bacterium binds to an immutable target.

Author: Shukla R, Peoples AJ, Ludwig KC, Maity S, Derks MGN, De Benedetti S, Krueger AM, Vermeulen BJA, Harbig T, Lavore F, Kumar R, Honorato RV, Grein F, Nieselt K, Liu Y, Bonvin AMJJ, Baldus M, Kubitscheck U, Breukink E, Achorn C, Nitti A, Schwalen CJ, Spoering AL, Ling LL, Hughes D, Lelli M, Roos WH, Lewis K, Schneider T, and Weingarth M
Subjects: Biological Assay, Diphosphates, Anti-Bacterial Agents isolation & purification, Anti-Bacterial Agents pharmacology, Bacteria, Soil Microbiology
Abstract: Antimicrobial resistance is a leading mortality factor worldwide. Here, we report the discovery of clovibactin, an antibiotic isolated from uncultured soil bacteria. Clovibactin efficiently kills drug-resistant Gram-positive bacterial pathogens without detectable resistance. Using biochemical assays, solid-state nuclear magnetic resonance, and atomic force microscopy, we dissect its mode of action. Clovibactin blocks cell wall synthesis by targeting pyrophosphate of multiple essential peptidoglycan precursors (C 55 PP, lipid II, and lipid III WTA ). Clovibactin uses an unusual hydrophobic interface to tightly wrap around pyrophosphate but bypasses the variable structural elements of precursors, accounting for the lack of resistance. Selective and efficient target binding is achieved by the sequestration of precursors into supramolecular fibrils that only form on bacterial membranes that contain lipid-anchored pyrophosphate groups. This potent antibiotic holds the promise of enabling the design of improved therapeutics that kill bacterial pathogens without resistance development., Competing Interests: Declaration of interests The following authors, A.J.P., C.A., A.N., A.L.S., L.L.L., D.H., and K.L., declare competing financial interests because they are employees and consultants of NovoBiotic Pharmaceuticals. A patent US 11,203,616 B2 was issued on 12/21/2021 and describes the use of clovibactin (Novo29) and as an antibiotic, as well as the pharmaceutical composition and antibiotic use of derivatives., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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34. Discriminating physiological from non-physiological interfaces in structures of protein complexes: A community-wide study.

Author: Schweke H, Xu Q, Tauriello G, Pantolini L, Schwede T, Cazals F, Lhéritier A, Fernandez-Recio J, Rodríguez-Lumbreras LA, Schueler-Furman O, Varga JK, Jiménez-García B, Réau MF, Bonvin AMJJ, Savojardo C, Martelli PL, Casadio R, Tubiana J, Wolfson HJ, Oliva R, Barradas-Bautista D, Ricciardelli T, Cavallo L, Venclovas Č, Olechnovič K, Guerois R, Andreani J, Martin J, Wang X, Terashi G, Sarkar D, Christoffer C, Aderinwale T, Verburgt J, Kihara D, Marchand A, Correia BE, Duan R, Qiu L, Xu X, Zhang S, Zou X, Dey S, Dunbrack RL, Levy ED, and Wodak SJ
Subjects: Reproducibility of Results, Protein Binding, Proteins metabolism
Abstract: Reliably scoring and ranking candidate models of protein complexes and assigning their oligomeric state from the structure of the crystal lattice represent outstanding challenges. A community-wide effort was launched to tackle these challenges. The latest resources on protein complexes and interfaces were exploited to derive a benchmark dataset consisting of 1677 homodimer protein crystal structures, including a balanced mix of physiological and non-physiological complexes. The non-physiological complexes in the benchmark were selected to bury a similar or larger interface area than their physiological counterparts, making it more difficult for scoring functions to differentiate between them. Next, 252 functions for scoring protein-protein interfaces previously developed by 13 groups were collected and evaluated for their ability to discriminate between physiological and non-physiological complexes. A simple consensus score generated using the best performing score of each of the 13 groups, and a cross-validated Random Forest (RF) classifier were created. Both approaches showed excellent performance, with an area under the Receiver Operating Characteristic (ROC) curve of 0.93 and 0.94, respectively, outperforming individual scores developed by different groups. Additionally, AlphaFold2 engines recalled the physiological dimers with significantly higher accuracy than the non-physiological set, lending support to the reliability of our benchmark dataset annotations. Optimizing the combined power of interface scoring functions and evaluating it on challenging benchmark datasets appears to be a promising strategy., (© 2023 Wiley-VCH GmbH.)
Published: 2023
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35. MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein-Protein Docking Conformations.

Author: Jung Y, Geng C, Bonvin AMJJ, Xue LC, and Honavar VG
Subjects: Protein Binding, Ligands, Protein Conformation, Proteins chemistry, Machine Learning
Abstract: Protein-protein interactions play a ubiquitous role in biological function. Knowledge of the three-dimensional (3D) structures of the complexes they form is essential for understanding the structural basis of those interactions and how they orchestrate key cellular processes. Computational docking has become an indispensable alternative to the expensive and time-consuming experimental approaches for determining the 3D structures of protein complexes. Despite recent progress, identifying near-native models from a large set of conformations sampled by docking-the so-called scoring problem-still has considerable room for improvement. We present MetaScore, a new machine-learning-based approach to improve the scoring of docked conformations. MetaScore utilizes a random forest (RF) classifier trained to distinguish near-native from non-native conformations using their protein-protein interfacial features. The features include physicochemical properties, energy terms, interaction-propensity-based features, geometric properties, interface topology features, evolutionary conservation, and also scores produced by traditional scoring functions (SFs). MetaScore scores docked conformations by simply averaging the score produced by the RF classifier with that produced by any traditional SF. We demonstrate that (i) MetaScore consistently outperforms each of the nine traditional SFs included in this work in terms of success rate and hit rate evaluated over conformations ranked among the top 10; (ii) an ensemble method, MetaScore-Ensemble, that combines 10 variants of MetaScore obtained by combining the RF score with each of the traditional SFs outperforms each of the MetaScore variants. We conclude that the performance of traditional SFs can be improved upon by using machine learning to judiciously leverage protein-protein interfacial features and by using ensemble methods to combine multiple scoring functions.
Published: 2023
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36. Information-Driven Antibody-Antigen Modelling with HADDOCK.

Author: Ambrosetti F, Jandova Z, and Bonvin AMJJ
Subjects: Molecular Docking Simulation, Cryoelectron Microscopy, Crystallography, X-Ray, Magnetic Resonance Spectroscopy, Protein Binding, Antigen-Antibody Complex chemistry
Abstract: In the recent years, therapeutic use of antibodies has seen a huge growth, "due to their inherent proprieties and technological advances in the methods used to study and characterize them. Effective design and engineering of antibodies for therapeutic purposes are heavily dependent on knowledge of the structural principles that regulate antibody-antigen interactions. Several experimental techniques such as X-ray crystallography, cryo-electron microscopy, NMR, or mutagenesis analysis can be applied, but these are usually expensive and time-consuming. Therefore computational approaches like molecular docking may offer a valuable alternative for the characterization of antibody-antigen complexes.Here we describe a protocol for the prediction of the 3D structure of antibody-antigen complexes using the integrative modelling platform HADDOCK. The protocol consists of (1) the identification of the antibody residues belonging to the hypervariable loops which are known to be crucial for the binding and can be used to guide the docking and (2) the detailed steps to perform docking with the HADDOCK 2.4 webserver following different strategies depending on the availability of information about epitope residues., (© 2023. Springer Science+Business Media, LLC, part of Springer Nature.)
Published: 2023
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37. DeepRank-GNN: a graph neural network framework to learn patterns in protein-protein interfaces.

Author: Réau M, Renaud N, Xue LC, and Bonvin AMJJ
Subjects: Neural Networks, Computer, Proteins chemistry
Abstract: Motivation: Gaining structural insights into the protein-protein interactome is essential to understand biological phenomena and extract knowledge for rational drug design or protein engineering. We have previously developed DeepRank, a deep-learning framework to facilitate pattern learning from protein-protein interfaces using convolutional neural network (CNN) approaches. However, CNN is not rotation invariant and data augmentation is required to desensitize the network to the input data orientation which dramatically impairs the computation performance. Representing protein-protein complexes as atomic- or residue-scale rotation invariant graphs instead enables using graph neural networks (GNN) approaches, bypassing those limitations., Results: We have developed DeepRank-GNN, a framework that converts protein-protein interfaces from PDB 3D coordinates files into graphs that are further provided to a pre-defined or user-defined GNN architecture to learn problem-specific interaction patterns. DeepRank-GNN is designed to be highly modularizable, easily customized and is wrapped into a user-friendly python3 package. Here, we showcase DeepRank-GNN's performance on two applications using a dedicated graph interaction neural network: (i) the scoring of docking poses and (ii) the discriminating of biological and crystal interfaces. In addition to the highly competitive performance obtained in those tasks as compared to state-of-the-art methods, we show a significant improvement in speed and storage requirement using DeepRank-GNN as compared to DeepRank., Availability and Implementation: DeepRank-GNN is freely available from https://github.com/DeepRank/DeepRank-GNN., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author(s) 2022. Published by Oxford University Press.)
Published: 2023
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38. PPARγ lipodystrophy mutants reveal intermolecular interactions required for enhancer activation.

Author: Madsen MS, Broekema MF, Madsen MR, Koppen A, Borgman A, Gräwe C, Thomsen EGK, Westland D, Kranendonk MEG, Koerkamp MG, Hamers N, Bonvin AMJJ, Pittol JMR, Natarajan KN, Kersten S, Holstege FCP, Monajemi H, van Mil SWC, Vermeulen M, Kragelund BB, Cassiman D, Mandrup S, and Kalkhoven E
Subjects: Humans, Adipocytes metabolism, Retinoid X Receptors genetics, Retinoid X Receptors metabolism, Regulatory Sequences, Nucleic Acid, PPAR gamma genetics, PPAR gamma metabolism, Lipodystrophy metabolism
Abstract: Peroxisome proliferator-activated receptor γ (PPARγ) is the master regulator of adipocyte differentiation, and mutations that interfere with its function cause lipodystrophy. PPARγ is a highly modular protein, and structural studies indicate that PPARγ domains engage in several intra- and inter-molecular interactions. How these interactions modulate PPARγ's ability to activate target genes in a cellular context is currently poorly understood. Here we take advantage of two previously uncharacterized lipodystrophy mutations, R212Q and E379K, that are predicted to interfere with the interaction of the hinge of PPARγ with DNA and with the interaction of PPARγ ligand binding domain (LBD) with the DNA-binding domain (DBD) of the retinoid X receptor, respectively. Using biochemical and genome-wide approaches we show that these mutations impair PPARγ function on an overlapping subset of target enhancers. The hinge region-DNA interaction appears mostly important for binding and remodelling of target enhancers in inaccessible chromatin, whereas the PPARγ-LBD:RXR-DBD interface stabilizes the PPARγ:RXR:DNA ternary complex. Our data demonstrate how in-depth analyses of lipodystrophy mutants can unravel molecular mechanisms of PPARγ function., (© 2022. The Author(s).)
Published: 2022
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39. Teixobactin kills bacteria by a two-pronged attack on the cell envelope.

Author: Shukla R, Lavore F, Maity S, Derks MGN, Jones CR, Vermeulen BJA, Melcrová A, Morris MA, Becker LM, Wang X, Kumar R, Medeiros-Silva J, van Beekveld RAM, Bonvin AMJJ, Lorent JH, Lelli M, Nowick JS, MacGillavry HD, Peoples AJ, Spoering AL, Ling LL, Hughes DE, Roos WH, Breukink E, Lewis K, and Weingarth M
Subjects: Cell Wall drug effects, Cell Wall metabolism, Diphosphates chemistry, Drug Resistance, Bacterial drug effects, Humans, Lipids chemistry, Microbial Sensitivity Tests, Microscopy, Atomic Force, Molecular Dynamics Simulation, Nuclear Magnetic Resonance, Biomolecular, Protein Structure, Secondary, Pyrrolidines chemistry, Sugars chemistry, Anti-Bacterial Agents chemistry, Anti-Bacterial Agents pharmacology, Bacteria cytology, Bacteria drug effects, Cell Membrane drug effects, Depsipeptides chemistry, Depsipeptides pharmacology, Microbial Viability drug effects
Abstract: Antibiotics that use novel mechanisms are needed to combat antimicrobial resistance 1-3 . Teixobactin 4 represents a new class of antibiotics with a unique chemical scaffold and lack of detectable resistance. Teixobactin targets lipid II, a precursor of peptidoglycan 5 . Here we unravel the mechanism of teixobactin at the atomic level using a combination of solid-state NMR, microscopy, in vivo assays and molecular dynamics simulations. The unique enduracididine C-terminal headgroup of teixobactin specifically binds to the pyrophosphate-sugar moiety of lipid II, whereas the N terminus coordinates the pyrophosphate of another lipid II molecule. This configuration favours the formation of a β-sheet of teixobactins bound to the target, creating a supramolecular fibrillar structure. Specific binding to the conserved pyrophosphate-sugar moiety accounts for the lack of resistance to teixobactin 4 . The supramolecular structure compromises membrane integrity. Atomic force microscopy and molecular dynamics simulations show that the supramolecular structure displaces phospholipids, thinning the membrane. The long hydrophobic tails of lipid II concentrated within the supramolecular structure apparently contribute to membrane disruption. Teixobactin hijacks lipid II to help destroy the membrane. Known membrane-acting antibiotics also damage human cells, producing undesirable side effects. Teixobactin damages only membranes that contain lipid II, which is absent in eukaryotes, elegantly resolving the toxicity problem. The two-pronged action against cell wall synthesis and cytoplasmic membrane produces a highly effective compound targeting the bacterial cell envelope. Structural knowledge of the mechanism of teixobactin will enable the rational design of improved drug candidates., (© 2022. The Author(s).)
Published: 2022
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40. Cyclization and Docking Protocol for Cyclic Peptide-Protein Modeling Using HADDOCK2.4.

Author: Charitou V, van Keulen SC, and Bonvin AMJJ
Subjects: Cyclization, Molecular Docking Simulation, Protein Binding, Protein Conformation, Software, Peptides, Cyclic metabolism, Proteins chemistry
Abstract: An emerging class of therapeutic molecules are cyclic peptides with over 40 cyclic peptide drugs currently in clinical use. Their mode of action is, however, not fully understood, impeding rational drug design. Computational techniques could positively impact their design, but modeling them and their interactions remains challenging due to their cyclic nature and their flexibility. This study presents a step-by-step protocol for generating cyclic peptide conformations and docking them to their protein target using HADDOCK2.4. A dataset of 30 cyclic peptide-protein complexes was used to optimize both cyclization and docking protocols. It supports peptides cyclized via an N- and C-terminus peptide bond and/or a disulfide bond. An ensemble of cyclic peptide conformations is then used in HADDOCK to dock them onto their target protein using knowledge of the binding site on the protein side to drive the modeling. The presented protocol predicts at least one acceptable model according to the critical assessment of prediction of interaction criteria for each complex of the dataset when the top 10 HADDOCK-ranked single structures are considered (100% success rate top 10) both in the bound and unbound docking scenarios. Moreover, its performance in both bound and fully unbound docking is similar to the state-of-the-art software in the field, Autodock CrankPep. The presented cyclization and docking protocol should make HADDOCK a valuable tool for rational cyclic peptide-based drug design and high-throughput screening.
Published: 2022
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41. Interface refinement of low- to medium-resolution Cryo-EM complexes using HADDOCK2.4.

Author: Neijenhuis T, van Keulen SC, and Bonvin AMJJ
Subjects: Cryoelectron Microscopy methods, Protein Conformation, Proteins chemistry
Abstract: A wide range of cellular processes requires the formation of multimeric protein complexes. The rise of cryo-electron microscopy (cryo-EM) has enabled the structural characterization of these protein assemblies. The density maps produced can, however, still suffer from limited resolution, impeding the process of resolving structures at atomic resolution. In order to solve this issue, monomers can be fitted into low- to medium-resolution maps. Unfortunately, the models produced frequently contain atomic clashes at the protein-protein interfaces (PPIs), as intermolecular interactions are typically not considered during monomer fitting. Here, we present a refinement approach based on HADDOCK2.4 to remove intermolecular clashes and optimize PPIs. A dataset of 14 cryo-EM complexes was used to test eight protocols. The best-performing protocol, consisting of a semi-flexible simulated annealing refinement with centroid restraints on the monomers, was able to decrease intermolecular atomic clashes by 98% without significantly deteriorating the quality of the cryo-EM density fit., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Published: 2022
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42. Molecular Insights Into Binding and Activation of the Human KCNQ2 Channel by Retigabine.

Author: Garofalo B, Bonvin AMJJ, Bosin A, Di Giorgio FP, Ombrato R, and Vargiu AV
Abstract: Voltage-gated potassium channels of the Kv7.x family are involved in a plethora of biological processes across many tissues in animals, and their misfunctioning could lead to several pathologies ranging from diseases caused by neuronal hyperexcitability, such as epilepsy, or traumatic injuries and painful diabetic neuropathy to autoimmune disorders. Among the members of this family, the Kv7.2 channel can form hetero-tetramers together with Kv7.3, forming the so-called M-channels, which are primary regulators of intrinsic electrical properties of neurons and of their responsiveness to synaptic inputs. Here, prompted by the similarity between the M-current and that in Kv7.2 alone, we perform a computational-based characterization of this channel in its different conformational states and in complex with the modulator retigabine. After validation of the structural models of the channel by comparison with experimental data, we investigate the effect of retigabine binding on the two extreme states of Kv7.2 (resting-closed and activated-open). Our results suggest that binding, so far structurally characterized only in the intermediate activated-closed state, is possible also in the other two functional states. Moreover, we show that some effects of this binding, such as increased flexibility of voltage sensing domains and propensity of the pore for open conformations, are virtually independent on the conformational state of the protein. Overall, our results provide new structural and dynamic insights into the functioning and the modulation of Kv7.2 and related channels., Competing Interests: BG, FD, and RO are employees of Angelini Pharma S.p.A., which funded this research under the project “In silico characterization of the open and closed structures of the KV7.2 potassium channel.” The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Garofalo, Bonvin, Bosin, Di Giorgio, Ombrato and Vargiu.)
Published: 2022
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43. DeepRank: a deep learning framework for data mining 3D protein-protein interfaces.

Author: Renaud N, Geng C, Georgievska S, Ambrosetti F, Ridder L, Marzella DF, Réau MF, Bonvin AMJJ, and Xue LC
Subjects: Crystallography, Datasets as Topic, Molecular Docking Simulation, Protein Interaction Domains and Motifs, Protein Interaction Maps, Data Mining methods, Deep Learning, Protein Interaction Mapping methods
Abstract: Three-dimensional (3D) structures of protein complexes provide fundamental information to decipher biological processes at the molecular scale. The vast amount of experimentally and computationally resolved protein-protein interfaces (PPIs) offers the possibility of training deep learning models to aid the predictions of their biological relevance. We present here DeepRank, a general, configurable deep learning framework for data mining PPIs using 3D convolutional neural networks (CNNs). DeepRank maps features of PPIs onto 3D grids and trains a user-specified CNN on these 3D grids. DeepRank allows for efficient training of 3D CNNs with data sets containing millions of PPIs and supports both classification and regression. We demonstrate the performance of DeepRank on two distinct challenges: The classification of biological versus crystallographic PPIs, and the ranking of docking models. For both problems DeepRank is competitive with, or outperforms, state-of-the-art methods, demonstrating the versatility of the framework for research in structural biology., (© 2021. The Author(s).)
Published: 2021
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44. Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment.

Author: Lensink MF, Brysbaert G, Mauri T, Nadzirin N, Velankar S, Chaleil RAG, Clarence T, Bates PA, Kong R, Liu B, Yang G, Liu M, Shi H, Lu X, Chang S, Roy RS, Quadir F, Liu J, Cheng J, Antoniak A, Czaplewski C, Giełdoń A, Kogut M, Lipska AG, Liwo A, Lubecka EA, Maszota-Zieleniak M, Sieradzan AK, Ślusarz R, Wesołowski PA, Zięba K, Del Carpio Muñoz CA, Ichiishi E, Harmalkar A, Gray JJ, Bonvin AMJJ, Ambrosetti F, Vargas Honorato R, Jandova Z, Jiménez-García B, Koukos PI, Van Keulen S, Van Noort CW, Réau M, Roel-Touris J, Kotelnikov S, Padhorny D, Porter KA, Alekseenko A, Ignatov M, Desta I, Ashizawa R, Sun Z, Ghani U, Hashemi N, Vajda S, Kozakov D, Rosell M, Rodríguez-Lumbreras LA, Fernandez-Recio J, Karczynska A, Grudinin S, Yan Y, Li H, Lin P, Huang SY, Christoffer C, Terashi G, Verburgt J, Sarkar D, Aderinwale T, Wang X, Kihara D, Nakamura T, Hanazono Y, Gowthaman R, Guest JD, Yin R, Taherzadeh G, Pierce BG, Barradas-Bautista D, Cao Z, Cavallo L, Oliva R, Sun Y, Zhu S, Shen Y, Park T, Woo H, Yang J, Kwon S, Won J, Seok C, Kiyota Y, Kobayashi S, Harada Y, Takeda-Shitaka M, Kundrotas PJ, Singh A, Vakser IA, Dapkūnas J, Olechnovič K, Venclovas Č, Duan R, Qiu L, Xu X, Zhang S, Zou X, and Wodak SJ
Subjects: Binding Sites, Molecular Docking Simulation, Protein Interaction Domains and Motifs, Sequence Analysis, Protein, Computational Biology methods, Models, Molecular, Proteins chemistry, Proteins metabolism, Software
Abstract: We present the results for CAPRI Round 50, the fourth joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of twelve targets, including six dimers, three trimers, and three higher-order oligomers. Four of these were easy targets, for which good structural templates were available either for the full assembly, or for the main interfaces (of the higher-order oligomers). Eight were difficult targets for which only distantly related templates were found for the individual subunits. Twenty-five CAPRI groups including eight automatic servers submitted ~1250 models per target. Twenty groups including six servers participated in the CAPRI scoring challenge submitted ~190 models per target. The accuracy of the predicted models was evaluated using the classical CAPRI criteria. The prediction performance was measured by a weighted scoring scheme that takes into account the number of models of acceptable quality or higher submitted by each group as part of their five top-ranking models. Compared to the previous CASP-CAPRI challenge, top performing groups submitted such models for a larger fraction (70-75%) of the targets in this Round, but fewer of these models were of high accuracy. Scorer groups achieved stronger performance with more groups submitting correct models for 70-80% of the targets or achieving high accuracy predictions. Servers performed less well in general, except for the MDOCKPP and LZERD servers, who performed on par with human groups. In addition to these results, major advances in methodology are discussed, providing an informative overview of where the prediction of protein assemblies currently stands., (© 2021 Wiley Periodicals LLC.)
Published: 2021
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45. Information-driven modeling of biomolecular complexes.

Author: van Noort CW, Honorato RV, and Bonvin AMJJ
Subjects: Molecular Docking Simulation, Protein Binding, Proteins metabolism, Computational Biology, Software
Abstract: Proteins play crucial roles in every cellular process by interacting with each other, nucleic acids, metabolites, and other molecules. The resulting assemblies can be very large and intricate and pose challenges to experimental methods. In the current era of integrative modeling, it is often only by a combination of various experimental techniques and computations that three-dimensional models of those molecular machines can be obtained. Among the various computational approaches available, molecular docking is often the method of choice when it comes to predicting three-dimensional structures of complexes. Docking can generate particularly accurate models when taking into account the available information on the complex of interest. We review here the use of experimental and bioinformatics data in protein-protein docking, describing recent software developments and highlighting applications for the modeling of antibody-antigen complexes and membrane protein complexes, and the use of evolutionary and shape information., Competing Interests: Conflict of interest statement Nothing declared., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Published: 2021
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46. Emergence and spread of SARS-CoV-2 lineage B.1.620 with variant of concern-like mutations and deletions.

Author: Dudas G, Hong SL, Potter BI, Calvignac-Spencer S, Niatou-Singa FS, Tombolomako TB, Fuh-Neba T, Vickos U, Ulrich M, Leendertz FH, Khan K, Huber C, Watts A, Olendraitė I, Snijder J, Wijnant KN, Bonvin AMJJ, Martres P, Behillil S, Ayouba A, Maidadi MF, Djomsi DM, Godwe C, Butel C, Šimaitis A, Gabrielaitė M, Katėnaitė M, Norvilas R, Raugaitė L, Koyaweda GW, Kandou JK, Jonikas R, Nasvytienė I, Žemeckienė Ž, Gečys D, Tamušauskaitė K, Norkienė M, Vasiliūnaitė E, Žiogienė D, Timinskas A, Šukys M, Šarauskas M, Alzbutas G, Aziza AA, Lusamaki EK, Cigolo JM, Mawete FM, Lofiko EL, Kingebeni PM, Tamfum JM, Belizaire MRD, Essomba RG, Assoumou MCO, Mboringong AB, Dieng AB, Juozapaitė D, Hosch S, Obama J, Ayekaba MO, Naumovas D, Pautienius A, Rafaï CD, Vitkauskienė A, Ugenskienė R, Gedvilaitė A, Čereškevičius D, Lesauskaitė V, Žemaitis L, Griškevičius L, and Baele G
Subjects: Africa, Central epidemiology, Antibodies, Neutralizing immunology, COVID-19 epidemiology, Europe epidemiology, Humans, Immune Evasion genetics, Mutation, Phylogeny, Phylogeography, SARS-CoV-2 classification, SARS-CoV-2 immunology, Spike Glycoprotein, Coronavirus genetics, Travel statistics & numerical data, COVID-19 transmission, COVID-19 virology, SARS-CoV-2 genetics
Abstract: Distinct SARS-CoV-2 lineages, discovered through various genomic surveillance initiatives, have emerged during the pandemic following unprecedented reductions in worldwide human mobility. We here describe a SARS-CoV-2 lineage - designated B.1.620 - discovered in Lithuania and carrying many mutations and deletions in the spike protein shared with widespread variants of concern (VOCs), including E484K, S477N and deletions HV69Δ, Y144Δ, and LLA241/243Δ. As well as documenting the suite of mutations this lineage carries, we also describe its potential to be resistant to neutralising antibodies, accompanying travel histories for a subset of European cases, evidence of local B.1.620 transmission in Europe with a focus on Lithuania, and significance of its prevalence in Central Africa owing to recent genome sequencing efforts there. We make a case for its likely Central African origin using advanced phylogeographic inference methodologies incorporating recorded travel histories of infected travellers., (© 2021. The Author(s).)
Published: 2021
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47. Shape-Restrained Modeling of Protein-Small-Molecule Complexes with High Ambiguity Driven DOCKing.

Author: Koukos PI, Réau M, and Bonvin AMJJ
Subjects: Computer Simulation, Ligands, Molecular Conformation, Molecular Docking Simulation, Protein Binding, Protein Conformation, Proteins metabolism
Abstract: Small-molecule docking remains one of the most valuable computational techniques for the structure prediction of protein-small-molecule complexes. It allows us to study the interactions between compounds and the protein receptors they target at atomic detail in a timely and efficient manner. Here, we present a new protocol in HADDOCK (High Ambiguity Driven DOCKing), our integrative modeling platform, which incorporates homology information for both receptor and compounds. It makes use of HADDOCK's unique ability to integrate information in the simulation to drive it toward conformations, which agree with the provided data. The focal point is the use of shape restraints derived from homologous compounds bound to the target receptors. We have developed two protocols: in the first, the shape is composed of dummy atom beads based on the position of the heavy atoms of the homologous template compound, whereas in the second, the shape is additionally annotated with pharmacophore data for some or all beads. For both protocols, ambiguous distance restraints are subsequently defined between those beads and the heavy atoms of the ligand to be docked. We have benchmarked the performance of these protocols with a fully unbound version of the widely used DUD-E (Database of Useful Decoys-Enhanced) dataset. In this unbound docking scenario, our template/shape-based docking protocol reaches an overall success rate of 81% when a reliable template can be identified (which was the case for 99 out of 102 complexes in the DUD-E dataset), which is close to the best results reported for bound docking on the DUD-E dataset.
Published: 2021
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48. Native or Non-Native Protein-Protein Docking Models? Molecular Dynamics to the Rescue.

Author: Jandova Z, Vargiu AV, and Bonvin AMJJ
Subjects: Algorithms, Machine Learning, Molecular Docking Simulation, Protein Interaction Mapping, Proteins chemistry
Abstract: Molecular docking excels at creating a plethora of potential models of protein-protein complexes. To correctly distinguish the favorable, native-like models from the remaining ones remains, however, a challenge. We assessed here if a protocol based on molecular dynamics (MD) simulations would allow distinguishing native from non-native models to complement scoring functions used in docking. To this end, the first models for 25 protein-protein complexes were generated using HADDOCK. Next, MD simulations complemented with machine learning were used to discriminate between native and non-native complexes based on a combination of metrics reporting on the stability of the initial models. Native models showed higher stability in almost all measured properties, including the key ones used for scoring in the Critical Assessment of PRedicted Interaction (CAPRI) competition, namely the positional root mean square deviations and fraction of native contacts from the initial docked model. A random forest classifier was trained, reaching a 0.85 accuracy in correctly distinguishing native from non-native complexes. Reasonably modest simulation lengths of the order of 50-100 ns are sufficient to reach this accuracy, which makes this approach applicable in practice.
Published: 2021
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49. Structural Biology in the Clouds: The WeNMR-EOSC Ecosystem.

Author: Honorato RV, Koukos PI, Jiménez-García B, Tsaregorodtsev A, Verlato M, Giachetti A, Rosato A, and Bonvin AMJJ
Abstract: Structural biology aims at characterizing the structural and dynamic properties of biological macromolecules at atomic details. Gaining insight into three dimensional structures of biomolecules and their interactions is critical for understanding the vast majority of cellular processes, with direct applications in health and food sciences. Since 2010, the WeNMR project (www.wenmr.eu) has implemented numerous web-based services to facilitate the use of advanced computational tools by researchers in the field, using the high throughput computing infrastructure provided by EGI. These services have been further developed in subsequent initiatives under H2020 projects and are now operating as Thematic Services in the European Open Science Cloud portal (www.eosc-portal.eu), sending >12 millions of jobs and using around 4,000 CPU-years per year. Here we review 10 years of successful e-infrastructure solutions serving a large worldwide community of over 23,000 users to date, providing them with user-friendly, web-based solutions that run complex workflows in structural biology. The current set of active WeNMR portals are described, together with the complex backend machinery that allows distributed computing resources to be harvested efficiently., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. BJ-G is the editor of the “Web Tools for Modeling and Analysis of Biomolecular Interactions” research topic., (Copyright © 2021 Honorato, Koukos, Jiménez-García, Tsaregorodtsev, Verlato, Giachetti, Rosato and Bonvin.)
Published: 2021
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50. Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN.

Author: Nizamuddin S, Koidl S, Bhuiyan T, Werner TV, Biniossek ML, Bonvin AMJJ, Lassmann S, and Timmers H
Subjects: Binding Sites, CCAAT-Binding Factor genetics, CCAAT-Binding Factor metabolism, Green Fluorescent Proteins genetics, Green Fluorescent Proteins immunology, HeLa Cells, Humans, Mass Spectrometry, Proto-Oncogene Proteins c-fos genetics, Proto-Oncogene Proteins c-fos metabolism, Recombinant Fusion Proteins analysis, Single-Domain Antibodies, TATA-Box Binding Protein genetics, TATA-Box Binding Protein metabolism, Genomics methods, Proteomics methods, Transcription Factors metabolism
Abstract: Genome-wide localization of chromatin and transcription regulators can be detected by a variety of techniques. Here, we describe a novel method 'greenCUT&RUN' for genome-wide profiling of transcription regulators, which has a very high sensitivity, resolution, accuracy and reproducibility, whilst assuring specificity. Our strategy begins with tagging of the protein of interest with GFP and utilizes a GFP-specific nanobody fused to MNase to profile genome-wide binding events. By using a GFP-nanobody the greenCUT&RUN approach eliminates antibody dependency and variability. Robust genomic profiles were obtained with greenCUT&RUN, which are accurate and unbiased towards open chromatin. By integrating greenCUT&RUN with nanobody-based affinity purification mass spectrometry, 'piggy-back' DNA binding events can be identified on a genomic scale. The unique design of greenCUT&RUN grants target protein flexibility and yields high resolution footprints. In addition, greenCUT&RUN allows rapid profiling of mutants of chromatin and transcription proteins. In conclusion, greenCUT&RUN is a widely applicable and versatile genome-mapping technique., (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
Published: 2021
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