13 results on '"Gladue, D.P."'
Search Results
2. Deletion of the thymidine kinase gene induces complete attenuation of the Georgia isolate of African swine fever virus
- Author
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Sanford, B., Holinka, L.G., O'Donnell, V., Krug, P.W., Carlson, J., Alfano, M., Carrillo, C., Wu, Ping, Lowe, Andre, Risatti, G.R., Gladue, D.P., and Borca, M.V.
- Published
- 2016
- Full Text
- View/download PDF
3. Development of an improved live attenuated antigenic marker CSF vaccine strain candidate with an increased genetic stability
- Author
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Holinka, L.G., Fernandez-Sainz, I., Sanford, B., O׳Donnell, V., Gladue, D.P., Carlson, J., Lu, Z., Risatti, G.R., and Borca, M.V.
- Published
- 2014
- Full Text
- View/download PDF
4. Virus–host interactions in persistently FMDV-infected cells derived from bovine pharynx
- Author
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O’Donnell, V., Pacheco, J.M., Larocco, Michael, Gladue, D.P., Pauszek, S.J., Smoliga, G., Krug, P.W., Baxt, B., Borca, M.V., and Rodriguez, L.
- Published
- 2014
- Full Text
- View/download PDF
5. Interaction of structural core protein of classical swine fever virus with endoplasmic reticulum-associated degradation pathway protein OS9
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Gladue, D.P., O’Donnell, V., Fernandez-Sainz, I.J., Fletcher, P., Baker-Branstetter, R., Holinka, L.G., Sanford, B., Carlson, J., Lu, Z., and Borca, M.V.
- Published
- 2014
- Full Text
- View/download PDF
6. Effect of specific amino acid substitutions in the putative fusion peptide of structural glycoprotein E2 on Classical Swine Fever Virus replication
- Author
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Fernández-Sainz, I.J., Largo, E., Gladue, D.P., Fletcher, P., O’Donnell, V., Holinka, L.G., Carey, L.B., Lu, X., Nieva, J.L., and Borca, M.V.
- Published
- 2014
- Full Text
- View/download PDF
7. Interaction between Core protein of classical swine fever virus with cellular IQGAP1 protein appears essential for virulence in swine
- Author
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Gladue, D.P., Holinka, L.G., Fernandez-Sainz, I.J., Prarat, M.V., O'Donnell, V., Vepkhvadze, N.G., Lu, Z., Risatti, G.R., and Borca, M.V.
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- 2011
- Full Text
- View/download PDF
8. Effects of the interactions of classical swine fever virus Core protein with proteins of the SUMOylation pathway on virulence in swine
- Author
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Gladue, D.P., Holinka, L.G., Fernandez-Sainz, I.J., Prarat, M.V., O'Donell, V., Vepkhvadze, N., Lu, Z., Rogers, K., Risatti, G.R., and Borca, M.V.
- Published
- 2010
- Full Text
- View/download PDF
9. Development of a live attenuated antigenic marker classical swine fever vaccine
- Author
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Holinka, L.G., Fernandez-Sainz, I., O'Donnell, V., Prarat, M.V., Gladue, D.P., Lu, Z., Risatti, G.R., and Borca, M.V.
- Published
- 2009
- Full Text
- View/download PDF
10. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Author
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Brown, P. Zhou, Y. Tan, A.-C. El-Esawi, M.A. Liehr, T. Blanck, O. Gladue, D.P. Almeida, G.M.F. Cernava, T. Sorzano, C.O. Yeung, A.W.K. Engel, M.S. Chandrasekaran, A.R. Muth, T. Staege, M.S. Daulatabad, S.V. Widera, D. Zhang, J. Meule, A. Honjo, K. Pourret, O. Yin, C.-C. Zhang, Z. Cascella, M. Flegel, W.A. Goodyear, C.S. van Raaij, M.J. Bukowy-Bieryllo, Z. Campana, L.G. Kurniawan, N.A. Lalaouna, D. Hüttner, F.J. Ammerman, B.A. Ehret, F. Cobine, P.A. Tan, E.-C. Han, H. Xia, W. McCrum, C. Dings, R.P.M. Marinello, F. Nilsson, H. Nixon, B. Voskarides, K. Yang, L. Costa, V.D. Bengtsson-Palme, J. Bradshaw, W. Grimm, D.G. Kumar, N. Martis, E. Prieto, D. Sabnis, S.C. Amer, S.E.D.R. Liew, A.W.C. Perco, P. Rahimi, F. Riva, G. Zhang, C. Devkota, H.P. Ogami, K. Basharat, Z. Fierz, W. Siebers, R. Tan, K.H. Boehme, K.A. Brenneisen, P. Brown, J.A.L. Dalrymple, B.P. Harvey, D.J. Ng, G. Werten, S. Bleackley, M. Dai, Z. Dhariwal, R. Gelfer, Y. Hartmann, M.D. Miotla, P. Tamaian, R. Govender, P. Gurney-Champion, O.J. Kauppila, J.H. Zhang, X. Echeverría, N. Subhash, S. Sallmon, H. Tofani, M. Bae, T. Bosch, O. Cuív, P.O. Danchin, A. Diouf, B. Eerola, T. Evangelou, E. Filipp, F. Klump, H. Kurgan, L. Smith, S.S. Terrier, O. Tuttle, N. Ascher, D.B. Janga, S.C. Schulte, L.N. Becker, D. Browngardt, C. Bush, S.J. Gaullier, G. Ide, K. Meseko, C. Werner, G.D.A. Zaucha, J. Al-Farha, A.A. Greenwald, N.F. Popoola, S.I. Rahman, S. Xu, J. Yang, S.Y. Hiroi, N. Alper, O.M. Baker, C.I. Bitzer, M. Chacko, G. Debrabant, B. Dixon, R. Forano, E. Gilliham, M. Kelly, S. Klempnauer, K.-H. Lidbury, B.A. Lin, M.Z. Lynch, I. Ma, W. Maibach, E.W. Mather, D.E. Nandakumar, K.S. Ohgami, R.S. Parchi, P. Tressoldi, P. Xue, Y. Armitage, C. Barraud, P. Chatzitheochari, S. Coelho, L.P. Diao, J. Doxey, A.C. Gobet, A. Hu, P. Kaiser, S. Mitchell, K.M. Salama, M.F. Shabalin, I.G. Song, H. Stevanovic, D. Yadollahpour, A. Zeng, E. Zinke, K. Alimba, C.G. Beyene, T.J. Cao, Z. Chan, S.S. Gatchell, M. Kleppe, A. Piotrowski, M. Torga, G. Woldesemayat, A.A. Cosacak, M.I. Haston, S. Ross, S.A. Williams, R. Wong, A. Abramowitz, M.K. Effiong, A. Lee, S. Abid, M.B. Agarabi, C. Alaux, C. Albrecht, D.R. Atkins, G.J. Beck, C.R. Bonvin, A.M.J.J. Bourke, E. Brand, T. Braun, R.J. Bull, J.A. Cardoso, P. Carter, D. Delahay, R.M. Ducommun, B. Duijf, P.H.G. Epp, T. Eskelinen, E.-L. Fallah, M. Farber, D.B. Fernandez-Triana, J. Feyerabend, F. Florio, T. Friebe, M. Furuta, S. Gabrielsen, M. Gruber, J. Grybos, M. Han, Q. Heinrich, M. Helanterä, 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, J.A. Lopez-Ruiz, F.J. Marchbank, K.J. Marschalek, R. Martín, C.S. Miele, A.E. 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, M.C. Pritchard, A.L. Pusch, S. Raghava, G.P.S. Roberts, N.J. Ross, K. Schuele, B. Sergeant, K. Shen, J. Stella, A. Sukocheva, O. Uversky, V.N. Vanneste, S. Villet, M.H. Viveiros, M. Vorholt, J.A. Weinstock, C. Yamato, M. Zabetakis, I. Zhao, X. Ziegler, A. Aizat, W.M. Atlas, L. Bridges, K.M. Chakraborty, S. Deschodt, M. Domingues, H.S. Esfahlani, S.S. Falk, S. Guisado, J.L. Kane, N.C. Kueberuwa, G. Lau, C.L. Liang, D. Liu, E. Luu, A.M. Ma, C. Ma, L. Moyer, R. Norris, A.D. Panthee, S. Parsons, J.R. Peng, Y. Pinto, I.M. Reschke, C.R. Sillanpää, E. Stewart, C.J. Uhle, F. Yang, H. Zhou, K. Zhu, S. Ashry, M. Bergsland, N. Berthold, M. Chen, C.-E. Colella, V. Cuypers, M. Eskew, E.A. Fan, X. Gajda, M. Gonzálezlez-Prendes, R. Goodin, A. Graham, E.B. Groen, E.J.N. Gutiérrez-Sacristán, A. Habes, M. Heffler, E. Higginbottom, D.B. Janzen, T. Jayaraman, J. Jibb, L.A. Jongen, S. Kinyanjui, T. Koleva-Kolarova, R.G. Li, Z. Liu, Y.-P. Lund, B.A. Lussier, A.A. Ma, L. Mier, P. Moore, M.D. Nagler, K. Orme, M.W. Pearson, J.A. Prajapati, A.S. Saito, Y. Tröder, S.E. Uchendu, F. Verloh, N. Voutchkova, D.D. Abu-Zaid, A. Bakkach, J. Baumert, P. Dono, M. Hanson, J. Herbelet, S. Hobbs, E. Kulkarni, A. Kumar, N. Liu, S. Loft, N.D. Reddan, T. Senghore, T. Vindin, H. Xu, H. Bannon, R. Chen, B. Cheung, J.T.K. Cooper, J. Esnakula, A.K. Feghali, K.A. Ghelardi, E. Gnasso, A. Horbar, J. Lai, H.M. Li, J. Ma, L. Ma, R. Pan, Z. Peres, M.A. Pranata, R. Seow, E. Sydes, M. Testoni, I. Westermair, A.L. Yang, Y. Afnan, M. Albiol, J. Albuquerque, L.G. Amir, S. Amiya, E. Amorim, R.M. An, Q. Andersen, S.U. Aplin, J.D. Argyropoulos, C. Asmann, Y.W. Assaeed, A.M. Atanasov, A.G. Atchison, D.A. Avery, S.V. Avillach, P. Baade, P.D. Backman, L. Badie, C. Baldi, A. Ball, E. Bardot, O. Barnett, A.G. Basner, M. Batra, J. Bazanova, O.M. Beale, A. Beddoe, T. Bell, M.L. Berezikov, E. Berners-Price, S. Bernhardt, P. Berry, E. Bessa, T.B. Billington, C. Birch, J. Blakely, R.D. Blaskovich, M.A.T. Blum, R. Boelaert, M. Bogdanos, D. Bosch, C. Bourgoin, T. Bouvard, D. Boykin, L.M. Bradley, G. Braun, D. Brownlie, J. Brühl, A. Burt, A. Butler, L.M. Byrareddy, S.N. Byrne, H.J. Cabantous, S. Calatayud, S. Candal, E. Carlson, K. Casillas, S. Castelvetro, V. Caswell, P.T. Cavalli, G. Cerovsky, V. Chagoyen, M. Chen, C.-S. Chen, D.F. Chen, H. Chen, H. Chen, J.-T. Chen, Y. Cheng, C. Cheng, J. Chinapaw, M. Chinopoulos, C. Cho, W.C.S. Chong, L. Chowdhury, D. Chwalibog, A. Ciresi, A. Cockcroft, S. Conesa, A. Cook, P.A. Cooper, D.N. Coqueret, O. Corea, E.M. Costa, A. Costa, E. Coupland, C. Crawford, S.Y. Cruz, A.D. Cui, H. Cui, Q. Culver, D.C. D'Angiulli, A. Dahms, T.E.S. Daigle, F. Dalgleish, R. Danielsen, H.E. Darras, S. Davidson, S.M. Day, D.A. Degirmenci, V. Demaison, L. Devriendt, K. Ding, J. Dogan, Y. Dong, X.C. Donner, C.F. Dressick, W. Drevon, C.A. Duan, H. Ducho, C. Dumaz, N. Dwarakanath, B.S. Ebell, M.H. Eisenhardt, S. Elkum, N. Engel, N. Erickson, T.B. Fairhead, M. Faville, M.J. Fejzo, M.S. Festa, F. Feteira, A. Flood-Page, P. Forsayeth, J. Fox, S.A. Franks, S.J. Frentiu, F.D. Frilander, M.J. Fu, X. Fujita, S. Galea, I. Galluzzi, L. Gani, F. Ganpule, A.P. García-Alix, A. Gedye, K. Giordano, M. Giunta, C. Gleeson, P.A. Goarant, C. Gong, H. Gora, D. Gough, M.J. Goyal, R. Graham, K.E. Grande-Pérez, A. Graves, P.M. Greidanus, H. Grice, D. Grunau, C. Gumulya, Y. Guo, Y. Gurevich, V.V. Gusev, O. Hacker, E. Hage, S.R. Hagen, G. Hahn, S. Haller, D.M. Hammerschmidt, S. Han, J. Han, R. Handfield, M. Hapuarachchi, H.C. Harder, T. Hardingham, J.E. Heck, M. Heers, M. Hew, K.F. Higuchi, Y. Hilaire, C.St. Hilton, R. Hodzic, E. Hone, A. Hongoh, Y. Hu, G. Huber, H.P. Hueso, L.E. Huirne, J. Hurt, L. Idborg, H. Ikeo, K. Ingley, E. Jakeman, P.M. Jensen, A. Jia, H. Jia, H. Jia, S. Jiang, J. Jiang, X. Jin, Y. Jo, D. Johnson, A.M. Johnston, M. Jonscher, K.R. Jorens, P.G. Jorgensen, J.O.L. Joubert, J.W. Jung, S.-H. Junior, A.M. Kahan, T. Kamboj, S.K. Kang, Y.-K. Karamanos, Y. Karp, N.A. Kelly, R. Kenna, R. Kennedy, J. Kersten, B. Khalaf, R.A. Khalid, J.M. Khatlani, T. Khider, T. Kijanka, G.S. King, S.R.B. Kluz, T. Knox, P. Kobayashi, T. Koch, K.-W. Kohonen-Corish, M.R.J. Kong, X. Konkle-Parker, D. Korpela, K.M. Kostrikis, L.G. Kraiczy, P. Kratz, H. Krause, G. Krebsbach, P.H. Kristensen, S.R. Kumari, P. Kunimatsu, A. Kurdak, H. Kwon, Y.D. Lachat, C. Lagisz, M. Laky, B. Lammerding, J. Lange, M. Larrosa, M. Laslett, A.L. Laverman, G.D. Leclair, E.E. Lee, K.-W. Lee, M.-Y. Lee, M.-S. Li, G. Li, J. Lieb, K. Lim, Y.Y. Lindsey, M.L. Line, P.-D. Liu, D. Liu, F. Liu, H. Liu, H. Lloyd, V.K. Lo, T.-W. Locci, E. Loidl, J. Lorenzen, J. Lorkowski, S. Lovell, N.H. Lu, H. Lu, W. Lu, Z. Luengo, G.S. Lundh, L.-G. Lysy, P.A. Mabb, A. Mack, H.G. Mackey, D.A. Mahdavi, S.R. Maher, P. Maher, T. Maity, S.N. Malgrange, B. Mamoulakis, C. Mangoni, A.A. Manke, T. Manstead, A.S.R. Mantalaris, A. Marsal, J. Marschall, H.-U. Martin, F.L. Martinez-Raga, J. Martinez-Salas, E. Mathieu, D. Matsui, Y. Maza, E. McCutcheon, J.E. McKay, G.J. McMillan, B. McMillan, N. Meads, C. Medina, L. Merrick, B.A. Metzger, D.W. Meunier, F.A. Michaelis, M. Micheau, O. Mihara, H. Mintz, E.M. Mizukami, T. Moalic, Y. Mohapatra, D.P. Monteiro, A. Montes, M. Moran, J.V. Morozov, S.Y. Mort, M. Murai, N. Murphy, D.J. Murphy, S.K. Murray, S.A. Naganawa, S. Nammi, S. Nasios, G. Natoli, R.M. Nguyen, F. Nicol, C. van Nieuwerburgh, F. Nilsen, E.B. Nobile, C.J. O'Mahony, M. Ohlsson, S. Olatunbosun, O. Olofsson, P. Ortiz, A. Ostrikov, K. Otto, S. Outeiro, T.F. Ouyang, S. Paganoni, S. Page, A. Palm, C. Paradies, Y. Parsons, M.H. Parsons, N. Pascal, P. Paul, E. Peckham, M. Pedemonte, N. Pellizzon, M.A. Petrelli, M. Pichugin, A. Pinto, C.J.C. Plevris, J.N. Pollesello, P. Polz, M. Ponti, G. Porcelli, P. Prince, M. Quinn, G.P. Quinn, T.J. Ramula, S. Rappsilber, J. Rehfeldt, F. Reiling, J.H. Remacle, C. Rezaei, M. Riddick, E.W. Ritter, U. Roach, N.W. Roberts, D.D. Robles, G. Rodrigues, T. Rodriguez, C. Roislien, J. Roobol, M.J. Rowe, A. Ruepp, A. van Ruitenbeek, J. Rust, P. Saad, S. Sack, G.H. Santos, M. Saudemont, A. Sava, G. Schrading, S. Schramm, A. Schreiber, M. Schuler, S. Schymkowitz, J. Sczyrba, A. Seib, K.L. Shi, H.-P. Shimada, T. Shin, J.-S. Shortt, C. Silveyra, P. Skinner, D. Small, I. Smeets, P.A.M. So, P.-W. Solano, F. Sonenshine, D.E. Song, J. Southall, T. Speakman, J.R. Srinivasan, M.V. Stabile, L.P. Stasiak, A. Steadman, K.J. Stein, N. Stephens, A.W. Stewart, D.I. Stine, K. Storlazzi, C. Stoynova, N.V. Strzalka, W. Suarez, O.M. Sultana, T. Sumant, A.V. Summers, M.J. Sun, G. Tacon, P. Tanaka, K. Tang, H. Tanino, Y. Targett-Adams, P. Tayebi, M. Tayyem, R. Tebbe, C.C. Telfer, E.E. Tempel, W. Teodorczyk-Injeyan, J.A. Thijs, G. Thorne, S. Thrift, A.G. Tiffon, C. Tinnefeld, P. Tjahjono, D.H. Tolle, F. Toth, E. Del Tredici, A.L. Tsapas, A. Tsirigotis, K. Turak, A. Tzotzos, G. Udo, E.E. Utsumi, T. Vaidyanathan, S. Vaillant, M. Valsesia, A. Vandenbroucke, R.E. Veiga, F.H. Vendrell, M. Vesk, P.A. Vickers, P. Victor, V.M. Villemur, R. Vohl, M.-C. Voolstra, C.R. Vuillemin, A. Wakelin, S. Waldron, L. Walsh, L.J. Wang, A.Y. Wang, F. Wang, Y. Watanabe, Y. Weigert, A. Wen, J.-C. Wham, C. White, E.P. Wiener, J. Wilharm, G. Wilkinson, S. Willmann, R. Wilson, C. Wirth, B. Wojan, T.R. Wolff, M. Wong, B.M. Wu, T.-W. Wuerbel, H. Xiao, X. Xu, D. Xu, J.W. Xu, J. 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, C. Zhang, L. Zhang, Y. Zhang, Y. Zhang, Z. Zhang, Z.-Y. Zhao, Y. Zhou, M. Zuberbier, T. Aanei, C.M. Ahmad, R. Al-Lawama, M. Alanio, A. Allardyce, J. Alonso-Caneiro, D. Atack, J.M. Baier, D. Bansal, A. Benezeth, Y. Berbesque, C. Berrevoet, F. Biedermann, P.H.W. Bijleveld, E. Bittner, F. Blombach, F. van den Bos, W. Boudreau, S.A. Bramoweth, A.D. Braubach, O. Cai, Y. Campbell, M. Cao, Z. Catry, T. Chen, X. Cheng, S. Chung, H.-J. Chávez-Fumagalli, M.A. Conway, A. Costa, B.M. Cyr, N. Dean, L.T. Denzel, M.S. Dlamini, S.V. Dudley, K.J. Dufies, M. Ecke, T. Eckweiler, D. Eixarch, E. El-Adawy, H. Emmrich, J.V. Eustace, A.J. Falter-Wagner, C.M. Farhoudi, R. Fuss, J. Gao, J. Gill, M.R. Gloyn, L. Goggs, R. Govinden, U. Greene, G. Greiff, V. Grundle, D.S. Grüneberg, P. Gumede, N. Haore, G. Harrison, P. Hoenner, X. Hojsgaard, D. Hori, H. Ikonomopoulou, M.P. Jeurissen, P. Johnson, D.M. Kabra, D. Kamagata, K. Karmakar, C. Kasian, O. Kaye, L.K. Khan, M.M. Kim, Y.-M. Kish, J.K. Kobold, S. Kohanbash, G. Kohls, G. Kugler, J.-M. Kumar, G. Lacy-Colson, J. Latif, A. Lauschke, V.M. Li, B. Lim, C.J. Liu, F. Liu, X. Lu, J.-J. Lu, Q. Mahavadi, P. Marzocchi, U. McGarrigle, C.A. van Meerten, T. Min, R. Moal, I. Molari, M. Molleman, L. Mondal, S.R. van de Mortel, T. Moss, W.N. Moultos, O.A. Mukherjee, M. Nakayama, K. Narayan, E. Navaratnarajah Neumann, P.-A. Nie, J. Nie, Y. Niemeyer, F. Nolan, F. Nwaiwu, O. Oldenmenger, W.H. Olumayede, E. Ou, J. Pallebage-Gamarallage, M. Pearce, S.P. Pelkonen, T. Pelleri, M.C. Pereira, J.L. Pheko, M. Pinto, K.A. Piovesan, A. Pluess, M. Podolsky, I.M. Prescott, J. Qi, D. Qi, X. Raikou, V.D. Ranft, A. Rhodes, J. Rotge, J.-Y. Rowe, A.D. Saggar, M. Schuon, R.A. Shahid, S. Shalchyan, V. Shirvalkar, P. Shiryayev, O. Singh, J. Smout, M.J. Soares, A. Song, C. Srivastava, K. Srivastava, R.K. Sun, J. Szabo, A. Szymanski, W. Tai, C.N.P. Takeuchi, H. Tanadini-Lang, S. Tang, F. Tao, W. Theron, G. Tian, C.F. Tian, Y.-S. Tuttle, L.M. Valenti, A. Verlot, P. Walker, M. Wang, J. Welter, D. Winslade, M. Wu, D. Wu, Y.-R. Xiao, H. Xu, B. Xu, J. Xu, Z. Yang, D. Yang, M. Yankilevich, P. You, Y. Yu, C. Zhan, J. Zhang, G. Zhang, K. Zhang, T. Zhang, Y. Zhao, G. Zhao, J. Zhou, X. Zhu, Z. Ajani, P.A. Anazodo, U.C. Bagloee, S.A. Bail, K. Bar, I. Bathelt, J. Benkeser, D. Bernier, M.L. Blanchard, A.M. Boakye, D.W. Bonatsos, V. Boon, M.H. Bouboulis, G. Bromfield, E. Brown, J. Bul, K.C.M. Burton, K.J. Butkowski, E.G. Carroll, G. Chao, F. Charrier, E.E. Chen, X. Chen, Y.-C. Chenguang Choi, J.R. Christoffersen, T. Comel, J.C. Cosse, C. Cui, Y. van Dessel, P. Dhaval Diodato, D. Duffey, M. Dutt, A. Egea, L.G. El-Said, M. Faye, M. Fernandez-Fernandez, B. Foley, K.G. Founou, L.L. Fu, F. Gadelkareem, R.A. Galimov, E. Garip, G. Gemmill, A. Gouil, Q. Grey, J. Gridneva, Z. Grothe, M.J. Grébert, T. Guerrero, F. Guignard, L. Haenssgen, M.J. Hasler, D. Holgate, J.Y. Huang, A. Hulse-Kemp, A.M. Jean-Quartier, C. Jeon, S.-M. Jia, Y. Jutzeler, C. Kalatzis, P. Karim, M. Karsay, K. Keitel, A. Kempe, A. Keown, J.R. Khoo, C.M. Khwaja, N. Kievit, R.A. Kosanic, S. Koutoukidis, D.A. Kramer, P. Kumar, D. Kiraǧ, N. Lanza, G. Le, T.D. Leem, J.W. Leightley, D. Leite, A. Lercher, L. Li, Y. Lim, R. Lima, L.R.A. Lin, L. Ling, T. Liu, Y. Liu, Z. Lu, Y. Lum, F.M. Luo, H. Machhi, J. Macleod, A. Macwan, I. Madala, H.R. Madani, N. de Maio, N. Makowiecki, K. Mallinson, D.J. Margelyte, R. Maria, C. Markonis, Y. Marsili, L. Mavoa, S. McWilliams, L. Megersa, M. Souto-Maior, C. Menichetti, J. Mercieca-Bebber, R. Miller, J.J. Minde, D.-P.M. Minges, A. Mishra, E. Mishra, V.R. Moores, C. Morrice, N. Moskalensky, A.E. Navarin, N. Negera, E. Nolet, P. Nordberg, A. Nordén, R. Nowicki, J.P. Olova, N. Olszewski, P. Onzima, R. Pan, C.-L. Park, C. Park, D.I. Park, S. Patil, C.D. Pedro, S.A. Perry, S.R. Peter, J. Peterson, B.M. Pezzuolo, A. Pozdnyakov, I. Qian, S. Qin, L. Rafe, A. Raote, I. Raza, A. Rebl, H. Refai, O. Regan, T. Richa, T. Richardson, M.F. Robinson, K.R. Rossoni, L. Rouet, R. Safaei, S. Schneeberger, P.H.H. 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, C.R. Suzuki, T. Syme, C. Sörelius, K. Tang, Y. Tantawy, M. Tennakoon, S. Teseo, S. Toelzer, C. Tomov, N. Tovar, M. Tran, L. Tripathi, S. Tuladhar, A.M. Ukubuiwe, A.C. Ung, C.O.L. Valgepea, K. Vatanparast, H. Vidal, A. Wang, F. Wang, Q. Watari, R. Webster, R. Webster, R. Wei, J. Wibowo, D. Wingenbach, T.S.H. Xavier, R.M. Xiao, S. Xiong, P. Xu, S. Xu, S. Yao, R. Yao, W. Yin, Q. Yu, Y. Zaitsu, M. Zeineb, Z. Zhan, X.-Y. Zhang, J. Zhang, R. Zhang, W. Zhang, X. Zheng, S. Zhou, B. Zhou, X. Ahmad, H. Akinwumi, S.A. Albery, G.F. Alhowimel, A. Ali, J. Alshehri, M. Alsuhaibani, M. Anikin, A. Azubuike, S.O. Bach-Mortensen, A. Baltiansky, L. Bartas, M. Belachew, K.Y. Bhardwaj, V. Binder, K. Bland, N.S. Boah, M. Bullen, B. Calabrò, G.E. Callahan, T.J. Cao, B. Chalmers, K. Chang, W. Che, Z. Chen, A.T.Y. Chen, H. Chen, H. Chen, Y. Chen, Z. Choi, Y. Chowdhury, M.A.K. Christensen, M.R. Cooke, R.S.C. Cottini, M. Covington, N.V. Cunningham, C. Delarocque, J. Devos, L. Dhar, A.R. Ding, K.-F. Dong, K. Dong, Z. Dreyer, N. Ekstrand, C. Fardet, T. Feleke, B.E. Feurer, T. Freitas, A. Gao, T. Gebremedhin Giganti, F. Grabowski, P. Guerra-Mora, J.R. Guo, C. Guo, X. Gupta, H. He, S. Heijne, M. Heinemann, S. Hogrebe, A. Huang, Z. Iskander-Rizk, S. Iyer, L.M. Jahan, Y. James, A.S. Joel, E. Joffroy, B. Jégousse, C. Kambondo, G. Karnati, P. Kaya, C. Ke, A. Kelly, D. Kickert, R. Kidibule, P.E. Kieselmann, J.P. Kim, H.J. Kitazawa, T. Lamberts, A. Li, Y. Liang, H. Linn, S.N. Litfin, T. Liusuo, W. Lygirou, V. Mahato, A.K. Mai, Z.-M. Major, R.W. Mali, S. Mallis, P. Mao, W. Marvin-Dowle, K. Mason, L.D. Merideth, B. Merino-Plaza, M.J. Merlaen, B. Messina, R. Mishra, A.K. Muhammad, J. Musinguzi, C. Nanou, A. Naqash, A. Nguyen, J.T. Nguyen, T.T.H. Ni, D. Nida Notcovich, S. Ohst, B. Ollivier, Q.R. Osses, D.F. Peng, X. Plantinga, A. Pulia, M. Rafiq, M. Raman, A. Raucher-Chéné Rawski, R. Ray, A. Razak, L.A. Rudolf, K. Rusch, P. Sadoine, M.L. 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, N.D.M. Tang, J. Testa, J. Tian, Z. Tingting, Q. Verheijen, G.P. Vickstrom, C. Wang, T. Wang, X. Wang, Z. Wei, P. Wilson, A. Wyart Yassine, A.-A. Yousefzadeh, A. Zare, A. Zeng, Z. Zhang, C. Zhang, H. Zhang, L. Zhang, T. Zhang, W. Zhang, Z. Zhou, J. Zhu, D. Adamo, V. Adeyemo, A.A. Aggelidou, M. Al-Owaifeer, A.M. Al-Riyami, A.Z. Alzghari, S.K. Andersen, V. Angus, K. Asaduzzaman, M. Asady, H. Ato, D. Bai, X. Baines, R.L. Ballantyne, M. Ban, B. Beck, J. Ben-Nafa, W. Black, E. Blancher, A. Blankstein, R. Bodagh, N. Borges, P. Brooks, A. Brox-Ponce, J. Brunetti, A. Canham, C.D. Carninci, P. Carvajal, R. Chang, S.C. Chao, J. Chatterjee, P. Chen, H. Chen, L. Chen, Y.-C. Chhatriwalla, A.K. Chikowe, I. Chuang, T.-J. Collevatti, R.G. Cornejo, D.A.V. Cuenda, A. Dao, M. Dauga, D. Deng, Z. Devkota, K. Doan, L.V. Elewa, Y.H.A. Fan, D. Faruk, M. Feifei, S. Ferguson, T.S. Fleres, F. Foster, E.J. Foster, S. Furer, T. Gao, Y. Garcia-Rivera, E.J. Gazdar, A. George, R.B. Ghosh, S. Gianchecchi, E. Gleason, J.M. Hackshaw, A. Hall, A. Hall, R. Harper, P. Hogg, W.E. Huang, G. Hunter, K.E. Ijzerman, A.P. Jesus, C. Jian, G. Lewis, J.S., Jr. Kanj, S.S. Kaur, H. Kelly, S. Kheir, F. Kichatova, V.S. Kiyani, M. Klein, R. Kovesi, T. Kraschnewski, J.L. Kumar, A.P. Labutin, D. Lazo-Langner, A. Leclercq, G. Li, M. Li, Q. Li, T. Li, Y. 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, S.H.X. Obeidat, M. Oh, D.-H. Owais, M. Pace-Asciak, P. Panwar, A. Park, C. Patterson, C. Penagos-Tabaree, F. Pianosi, P.T. Pinzi, V. Pridans, C. Psaroulaki, A. Pujala, R.K. Pulido-Arjona, L. Qi, P.-F. Rahman, P. Rai, N.K. Rassaf, T. Refardt, J. Ricciardi, W. Riess, O. Rovas, A. Sacks, F.M. Saleh, S. Sampson, C. Schmutz, A. Sepanski, R. Sharma, N. Singh, M. Spearman, P. Subramaniapillai, M. Swali, R. Tan, C.M. Tellechea, J.I. Thomas, L.-M. Tong, X. Vavvas, D.G. Veys, R. Vitriol, V. Wang, H.-D. Wang, J. Wang, J. Waugh, J. Webb, S.A. Williams, B.A. Workman, A.D. Xiang, T. Xie, L.-X. Xu, J. Xu, T. Yang, C. Yoon, J.G. Yuan, C.M. Zaritsky, A. Zhang, Y. Zhao, H. Zuckerman, H. Lyu, R. Pullan, W. RELISH Consortium
- Abstract
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 science. © The Author(s) 2019. Published by Oxford University Press.
- Published
- 2019
11. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Author
-
Brown, P., Zhou, Y., Tan, A.C., El-Esawi, M.A., Liehr, T., Blanck, O., Gladue, D.P., Almeida, G.M.F., Cernava, T., Sorzano, C.O., Yeung, A.W.K., Engel, M.S., Chandrasekaran, A.R., Muth, T., Staege, M.S., Daulatabad, S.V., Widera, D., Zhang, J., Meule, A., Honjo, K., Pourret, O., Yin, C.C., Zhang, Z., Cascella, M., Flegel, W.A., Goodyear, C.S., van Raaij, M.J., Bukowy-Bieryllo, Z., Campana, L.G., Kurniawan, N.A., Lalaouna, D., Hüttner, F.J., Ammerman, B.A., Ehret, F., Cobine, P.A., Tan, E.C., Han, H., Xia, W., McCrum, C., Dings, R.P.M., Marinello, F., Nilsson, H., Nixon, B., Voskarides, K., Yang, L., Costa, V.D., Bengtsson-Palme, J., Bradshaw, W., Grimm, D.G., Kumar, N., Martis, E., Prieto, D., Sabnis, S.C., Amer, S.E.D.R., Liew, A.W.C., Perco, P., Rahimi, F., Riva, G., Zhang, C., Devkota, H.P., Ogami, K., Basharat, Z., Fierz, W., Siebers, R., Tan, K.H., Boehme, K.A., Brenneisen, P., Brown, J.A.L., Dalrymple, B.P., Harvey, D.J., Ng, G., Werten, S., Bleackley, M., Dai, Z., Dhariwal, R., Gelfer, Y., Hartmann, M.D., Miotla, P., Tamaian, R., Govender, P., Gurney-Champion, O.J., Kauppila, J.H., Zhang, X., Echeverría, N., Subhash, S., Sallmon, H., Tofani, M., Bae, T., Bosch, O., Cuív, P.O., Danchin, A., Diouf, B., Eerola, T., Evangelou, E., Filipp, F., Klump, H., Kurgan, L., Smith, S.S., Terrier, O., Tuttle, N., and Wiener, J.M.
- Abstract
© The Author(s) 2019. Published by Oxford University Press. 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 science.
- Published
- 2019
12. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Author
-
Brown, P. (Patrick), Tan, A.C.S., El-Esawi, M.A., Liehr, T., Blanck, O., Gladue, D.P., Brown, P. (Patrick), Tan, A.C.S., El-Esawi, M.A., Liehr, T., Blanck, O., and Gladue, D.P.
- Abstract
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
- Published
- 2019
- Full Text
- View/download PDF
13. Large expert-curated database for benchmarking document similarity detection in biomedical literature search
- Author
-
Brown, P., Zhou, Y., Tan, A.C., El-Esawi, M.A., Liehr, T., Blanck, O., Gladue, D.P., Almeida, G.M.F., Cernava, T., Sorzano, C.O., Yeung, A.W.K., Engel, M.S., Chandrasekaran, A.R., Muth, T., Staege, M.S., Daulatabad, S.V., Widera, D., Zhang, J., Meule, A., Honjo, K., Pourret, O., Yin, C.C., Zhang, Z., Cascella, M., Flegel, W.A., Goodyear, C.S., van Raaij, M.J., Bukowy-Bieryllo, Z., Campana, L.G., Kurniawan, N.A., Lalaouna, D., Hüttner, F.J., Ammerman, B.A., Ehret, F., Cobine, P.A., Tan, E.C., Han, H., Xia, W., McCrum, C., Dings, R.P.M., Marinello, F., Nilsson, H., Nixon, B., Voskarides, K., Yang, L., Costa, V.D., Bengtsson-Palme, J., Bradshaw, W., Grimm, D.G., Kumar, N., Martis, E., Prieto, D., Sabnis, S.C., Amer, S.E.D.R., Liew, A.W.C., Perco, P., Rahimi, F., Riva, G., Zhang, C., Devkota, H.P., Ogami, K., Basharat, Z., Fierz, W., Siebers, R., Tan, K.H., Boehme, K.A., Brenneisen, P., Brown, J.A.L., Dalrymple, B.P., Harvey, D.J., Ng, G., Werten, S., Bleackley, M., Dai, Z., Dhariwal, R., Gelfer, Y., Hartmann, M.D., Miotla, P., Tamaian, R., Govender, P., Gurney-Champion, O.J., Kauppila, J.H., Zhang, X., Echeverría, N., Subhash, S., Sallmon, H., Tofani, M., Bae, T., Bosch, O., Cuív, P.O., Danchin, A., Diouf, B., Eerola, T., Evangelou, E., Filipp, F., Klump, H., Kurgan, L., Smith, S.S., Terrier, O., Tuttle, N., Wiener, J.M., Brown, P., Zhou, Y., Tan, A.C., El-Esawi, M.A., Liehr, T., Blanck, O., Gladue, D.P., Almeida, G.M.F., Cernava, T., Sorzano, C.O., Yeung, A.W.K., Engel, M.S., Chandrasekaran, A.R., Muth, T., Staege, M.S., Daulatabad, S.V., Widera, D., Zhang, J., Meule, A., Honjo, K., Pourret, O., Yin, C.C., Zhang, Z., Cascella, M., Flegel, W.A., Goodyear, C.S., van Raaij, M.J., Bukowy-Bieryllo, Z., Campana, L.G., Kurniawan, N.A., Lalaouna, D., Hüttner, F.J., Ammerman, B.A., Ehret, F., Cobine, P.A., Tan, E.C., Han, H., Xia, W., McCrum, C., Dings, R.P.M., Marinello, F., Nilsson, H., Nixon, B., Voskarides, K., Yang, L., Costa, V.D., Bengtsson-Palme, J., Bradshaw, W., Grimm, D.G., Kumar, N., Martis, E., Prieto, D., Sabnis, S.C., Amer, S.E.D.R., Liew, A.W.C., Perco, P., Rahimi, F., Riva, G., Zhang, C., Devkota, H.P., Ogami, K., Basharat, Z., Fierz, W., Siebers, R., Tan, K.H., Boehme, K.A., Brenneisen, P., Brown, J.A.L., Dalrymple, B.P., Harvey, D.J., Ng, G., Werten, S., Bleackley, M., Dai, Z., Dhariwal, R., Gelfer, Y., Hartmann, M.D., Miotla, P., Tamaian, R., Govender, P., Gurney-Champion, O.J., Kauppila, J.H., Zhang, X., Echeverría, N., Subhash, S., Sallmon, H., Tofani, M., Bae, T., Bosch, O., Cuív, P.O., Danchin, A., Diouf, B., Eerola, T., Evangelou, E., Filipp, F., Klump, H., Kurgan, L., Smith, S.S., Terrier, O., Tuttle, N., and Wiener, J.M.
- Abstract
© The Author(s) 2019. Published by Oxford University Press. 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 science.
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