25 results on '"Johnathan D. Guest"'
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2. Molecular and phenotypic characteristics of RSV infections in infants during two nirsevimab randomized clinical trials
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Bahar Ahani, Kevin M. Tuffy, Anastasia A. Aksyuk, Deidre Wilkins, Michael E. Abram, Ron Dagan, Joseph B. Domachowske, Johnathan D. Guest, Hong Ji, Anna Kushnir, Amanda Leach, Shabir A. Madhi, Vaishali S. Mankad, Eric A. F. Simões, Benjamin Sparklin, Scott D. Speer, Ann Marie Stanley, David E. Tabor, Ulrika Wählby Hamrén, Elizabeth J. Kelly, and Tonya Villafana
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Science - Abstract
Abstract Nirsevimab is a monoclonal antibody that binds to the respiratory syncytial virus (RSV) fusion protein. During the Phase 2b (NCT02878330) and MELODY (NCT03979313) clinical trials, infants received one dose of nirsevimab or placebo before their first RSV season. In this pre-specified analysis, isolates from RSV infections were subtyped, sequenced and analyzed for nirsevimab binding site substitutions; subsequently, recombinant RSVs were engineered for microneutralization susceptibility testing. Here we show that the frequency of infections caused by subtypes A and B is similar across and within the two trials. In addition, RSV A had one and RSV B had 10 fusion protein substitutions occurring at >5% frequency. Notably, RSV B binding site substitutions were rare, except for the highly prevalent I206M:Q209R, which increases nirsevimab susceptibility; RSV B isolates from two participants had binding site substitutions that reduce nirsevimab susceptibility. Overall, >99% of isolates from the Phase 2b and MELODY trials retained susceptibility to nirsevimab.
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- 2023
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3. Structure of engineered hepatitis C virus E1E2 ectodomain in complex with neutralizing antibodies
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Matthew C. Metcalf, Benjamin M. Janus, Rui Yin, Ruixue Wang, Johnathan D. Guest, Edwin Pozharski, Mansun Law, Roy A. Mariuzza, Eric A. Toth, Brian G. Pierce, Thomas R. Fuerst, and Gilad Ofek
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Science - Abstract
Abstract Hepatitis C virus (HCV) is a major global health burden as the leading causative agent of chronic liver disease and hepatocellular carcinoma. While the main antigenic target for HCV-neutralizing antibodies is the membrane-associated E1E2 surface glycoprotein, the development of effective vaccines has been hindered by complications in the biochemical preparation of soluble E1E2 ectodomains. Here, we present a cryo-EM structure of an engineered, secreted E1E2 ectodomain of genotype 1b in complex with neutralizing antibodies AR4A, HEPC74, and IGH520. Structural characterization of the E1 subunit and C-terminal regions of E2 reveal an overall architecture of E1E2 that concurs with that observed for non-engineered full-length E1E2. Analysis of the AR4A epitope within a region of E2 that bridges between the E2 core and E1 defines the structural basis for its broad neutralization. Our study presents the structure of an E1E2 complex liberated from membrane via a designed scaffold, one that maintains all essential structural features of native E1E2. The study advances the understanding of the E1E2 heterodimer structure, crucial for the rational design of secreted E1E2 antigens in vaccine development.
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- 2023
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4. Structural assessment of HLA-A2-restricted SARS-CoV-2 spike epitopes recognized by public and private T-cell receptors
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Daichao Wu, Alexander Kolesnikov, Rui Yin, Johnathan D. Guest, Ragul Gowthaman, Anton Shmelev, Yana Serdyuk, Dmitry V. Dianov, Grigory A. Efimov, Brian G. Pierce, and Roy A. Mariuzza
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Science - Abstract
Structural immunology is critical in understanding the interplay between the immune response and the infective agent but such studies in T cells and SARS-CoV-2 lag behind those of antibodies and B-cell receptors. Here the authors assess recognition of SARS-CoV-2 spike epitopes and their natural variants by public and private T cell receptors.
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- 2022
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5. Structure-Based and Rational Design of a Hepatitis C Virus Vaccine
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Johnathan D. Guest and Brian G. Pierce
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HCV ,E1E2 ,structure-based vaccine design ,Microbiology ,QR1-502 - Abstract
A hepatitis C virus (HCV) vaccine is a critical yet unfulfilled step in addressing the global disease burden of HCV. While decades of research have led to numerous clinical and pre-clinical vaccine candidates, these efforts have been hindered by factors including HCV antigenic variability and immune evasion. Structure-based and rational vaccine design approaches have capitalized on insights regarding the immune response to HCV and the structures of antibody-bound envelope glycoproteins. Despite successes with other viruses, designing an immunogen based on HCV glycoproteins that can elicit broadly protective immunity against HCV infection is an ongoing challenge. Here, we describe HCV vaccine design approaches where immunogens were selected and optimized through analysis of available structures, identification of conserved epitopes targeted by neutralizing antibodies, or both. Several designs have elicited immune responses against HCV in vivo, revealing correlates of HCV antigen immunogenicity and breadth of induced responses. Recent studies have elucidated the functional, dynamic and immunological features of key regions of the viral envelope glycoproteins, which can inform next-generation immunogen design efforts. These insights and design strategies represent promising pathways to HCV vaccine development, which can be further informed by successful immunogen designs generated for other viruses.
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- 2021
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6. Computational Modeling of Hepatitis C Virus Envelope Glycoprotein Structure and Recognition
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Johnathan D. Guest and Brian G. Pierce
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hepatitis C virus ,vaccines ,modeling ,design ,E1E2 ,glycoproteins ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Hepatitis C virus (HCV) is a major global health concern, and though therapeutic options have improved, no vaccine is available despite decades of research. As HCV can rapidly mutate to evade the immune response, an effective HCV vaccine must rely on identification and characterization of sites critical for broad immune protection and viral neutralization. This knowledge depends on structural and mechanistic insights of the E1 and E2 envelope glycoproteins, which assemble as a heterodimer on the surface of the virion, engage coreceptors during host cell entry, and are the primary targets of antibodies. Due to the challenges in determining experimental structures, structural information on E1 and E2 and their interaction is relatively limited, providing opportunities to model the structures, interactions, and dynamics of these proteins. This review highlights efforts to model the E2 glycoprotein structure, the assembly of the functional E1E2 heterodimer, the structure and binding of human coreceptors, and recognition by key neutralizing antibodies. We also discuss a comparison of recently described models of full E1E2 heterodimer structures, a simulation of the dynamics of key epitope sites, and modeling glycosylation. These modeling efforts provide useful mechanistic hypotheses for further experimental studies of HCV envelope assembly, recognition, and viral fitness, and underscore the benefit of combining experimental and computational modeling approaches to reveal new insights. Additionally, computational design approaches have produced promising candidates for epitope-based vaccine immunogens that specifically target key epitopes, providing a possible avenue to optimize HCV vaccines versus using native glycoproteins. Advancing knowledge of HCV envelope structure and immune recognition is highly applicable toward the development of an effective vaccine for HCV and can provide lessons and insights relevant to modeling and characterizing other viruses.
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- 2018
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7. Broadly neutralizing antibodies from an individual that naturally cleared multiple hepatitis C virus infections uncover molecular determinants for E2 targeting and vaccine design.
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Zhen-Yong Keck, Brian G Pierce, Patrick Lau, Janine Lu, Yong Wang, Alexander Underwood, Rowena A Bull, Jannick Prentoe, Rodrigo Velázquez-Moctezuma, Melanie R Walker, Fabio Luciani, Johnathan D Guest, Catherine Fauvelle, Thomas F Baumert, Jens Bukh, Andrew R Lloyd, and Steven K H Foung
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Immunologic diseases. Allergy ,RC581-607 ,Biology (General) ,QH301-705.5 - Abstract
Cumulative evidence supports a role for neutralizing antibodies contributing to spontaneous viral clearance during acute hepatitis C virus (HCV) infection. Information on the timing and specificity of the B cell response associated with clearance is crucial to inform vaccine design. From an individual who cleared three sequential HCV infections with genotypes 1b, 1a and 3a strains, respectively, we employed peripheral B cells to isolate and characterize neutralizing human monoclonal antibodies (HMAbs) to HCV after the genotype 1 infections. The majority of isolated antibodies, designated as HMAbs 212, target conformational epitopes on the envelope glycoprotein E2 and bound broadly to genotype 1-6 E1E2 proteins. Further, some of these antibodies showed neutralization potential against cultured genotype 1-6 viruses. Competition studies with defined broadly neutralizing HCV HMAbs to epitopes in distinct clusters, designated antigenic domains B, C, D and E, revealed that the selected HMAbs compete with B, C and D HMAbs, previously isolated from subjects with chronic HCV infections. Epitope mapping studies revealed domain B and C specificity of these HMAbs 212. Sequential serum samples from the studied subject inhibited the binding of HMAbs 212 to autologous E2 and blocked a representative domain D HMAb. The specificity of this antibody response appears similar to that observed during chronic infection, suggesting that the timing and affinity maturation of the antibody response are the critical determinants in successful and repeated viral clearance. While additional studies should be performed for individuals with clearance or persistence of HCV, our results define epitope determinants for antibody E2 targeting with important implications for the development of a B cell vaccine.
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- 2019
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8. Molecular Characterization of AZD7442 (Tixagevimab-Cilgavimab) Neutralization of SARS-CoV-2 Omicron Subvariants
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Tiffany L. Roe, Tyler Brady, Nicolette Schuko, Amy Nguyen, Jagadish Beloor, Johnathan D. Guest, Anastasia A. Aksyuk, Kevin M. Tuffy, Tianhui Zhang, Katie Streicher, Elizabeth J. Kelly, and Gustavo H. Kijak
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Microbiology (medical) ,Infectious Diseases ,General Immunology and Microbiology ,Ecology ,Physiology ,Genetics ,Cell Biology - Abstract
MAbs are key therapeutic options for COVID-19 prophylaxis and treatment in immunosuppressed and vulnerable populations. Due to the emergence of SARS-CoV-2 variants, including Omicron, it is vital to ensure that neutralization is maintained for MAb-based interventions.
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- 2023
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9. An Antigenically Diverse, Representative Panel of Envelope Glycoproteins for Hepatitis C Virus Vaccine Development
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Marian E. Major, Nicole Frumento, Alexander W. Tarr, Johnathan D. Guest, Steven K. H. Foung, Arvind H. Patel, Alexis Figueroa, Jordan Salas, Jonathan K. Ball, Vanessa M. Cowton, Kaitlyn E. Clark, Heidi E. Drummer, Thomas R. Fuerst, Richard A. Urbanowicz, Sarah Cole, Brian G. Pierce, Zhen-Yong Keck, Mansun Law, and Justin R. Bailey
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Viral Hepatitis Vaccines ,medicine.drug_class ,Hepatitis C virus ,Hepacivirus ,medicine.disease_cause ,Monoclonal antibody ,Neutralization ,Antigenic Diversity ,Immunogenicity, Vaccine ,Viral Envelope Proteins ,Neutralization Tests ,Cell Line, Tumor ,Vaccine Development ,medicine ,Humans ,Neutralizing antibody ,Antigens, Viral ,chemistry.chemical_classification ,Genetic diversity ,Hepatology ,biology ,Gastroenterology ,Reproducibility of Results ,Antigenic Variation ,Hepatitis C ,Virology ,chemistry ,biology.protein ,Antibody ,Glycoprotein ,Broadly Neutralizing Antibodies - Abstract
Background and Aims Development of a prophylactic hepatitis C virus (HCV) vaccine will require accurate and reproducible measurement of neutralizing breadth of vaccine-induced antibodies. Currently available HCV panels may not adequately represent the genetic and antigenic diversity of circulating HCV strains, and the lack of standardization of these panels makes it difficult to compare neutralization results obtained in different studies. Here, we describe the selection and validation of a genetically and antigenically diverse reference panel of 15 HCV pseudoparticles (HCVpp) for neutralization assays. Methods We chose 75 envelope (E1E2) clones to maximize representation of natural polymorphisms observed in circulating HCV isolates, and 65 of these clones generated functional HCVpp. Neutralization sensitivity of these HCVpp varied widely. HCVpp clustered into 15 distinct groups based on patterns of relative sensitivity to seven broadly neutralizing monoclonal antibodies (bNAbs). We used these data to select a final panel of 15 antigenically representative HCVpp. Results Both the 65 and 15 HCVpp panels span four tiers of neutralization sensitivity, and neutralizing breadth measurements for seven bNAbs were nearly equivalent using either panel. Differences in neutralization sensitivity between HCVpp were independent of genetic distances between E1E2 clones. Conclusions Neutralizing breadth of HCV antibodies should be defined using viruses spanning multiple tiers of neutralization sensitivity, rather than panels selected solely for genetic diversity. We propose that this multi-tier reference panel could be adopted as a standard for the measurement of neutralizing antibody potency and breadth, facilitating meaningful comparisons of neutralization results from vaccine studies in different laboratories.
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- 2022
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10. CoV3D: a database of high resolution coronavirus protein structures
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Johnathan D. Guest, William R. Schief, Rui Yin, Ragul Gowthaman, Brian G. Pierce, and Jared Adolf-Bryfogle
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Models, Molecular ,Glycan ,Coronavirus disease 2019 (COVID-19) ,AcademicSubjects/SCI00010 ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,High resolution ,Biology ,Antibodies, Viral ,computer.software_genre ,medicine.disease_cause ,Article ,Protein structure ,medicine ,Genetics ,Humans ,Database Issue ,Amino Acid Sequence ,Databases, Protein ,Epidemics ,Peptide sequence ,Coronavirus ,Internet ,Database ,SARS-CoV-2 ,COVID-19 ,Computational Biology ,Antibodies, Neutralizing ,Protein Structure, Tertiary ,Rapid rise ,Spike Glycoprotein, Coronavirus ,biology.protein ,computer - Abstract
SARS-CoV-2, the etiologic agent of COVID-19, exemplifies the general threat to global health posed by coronaviruses. The urgent need for effective vaccines and therapies is leading to a rapid rise in the number of high resolution structures of SARS-CoV-2 proteins that collectively reveal a map of virus vulnerabilities. To assist structure-based design of vaccines and therapeutics against SARS-CoV-2 and other coronaviruses, we have developed CoV3D, a database and resource for coronavirus protein structures, which is updated on a weekly basis. CoV3D provides users with comprehensive sets of structures of coronavirus proteins and their complexes with antibodies, receptors, and small molecules. Integrated molecular viewers allow users to visualize structures of the spike glycoprotein, which is the major target of neutralizing antibodies and vaccine design efforts, as well as sets of spike-antibody complexes, spike sequence variability, and known polymorphisms. In order to aid structure-based design and analysis of the spike glycoprotein, CoV3D permits visualization and download of spike structures with modeled N-glycosylation at known glycan sites, and contains structure-based classification of spike conformations, generated by unsupervised clustering. CoV3D can serve the research community as a centralized reference and resource for spike and other coronavirus protein structures, and is available at: https://cov3d.ibbr.umd.edu., Graphical Abstract Graphical AbstractCoV3D: a database of high resolution coronavirus protein structures.
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- 2020
11. Induction of broadly neutralizing antibodies using a secreted form of the hepatitis C virus E1E2 heterodimer as a vaccine candidate
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Ruixue Wang, Saori Suzuki, Johnathan D. Guest, Brigitte Heller, Maricar Almeda, Alexander K. Andrianov, Alexander Marin, Roy A. Mariuzza, Zhen-Yong Keck, Steven K. H. Foung, Abdul S. Yunus, Brian G. Pierce, Eric A. Toth, Alexander Ploss, and Thomas R. Fuerst
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Viral Hepatitis Vaccines ,Mice ,Multidisciplinary ,Immunogenicity, Vaccine ,Viral Envelope Proteins ,Animals ,Hepatitis C Antibodies ,Protein Multimerization ,Hepatitis C ,Broadly Neutralizing Antibodies - Abstract
Significance Hepatitis C virus chronically infects approximately 1% of the world’s population, making an effective vaccine for hepatitis C virus a major unmet public health need. The membrane-associated E1E2 envelope glycoprotein has been used in clinical studies as a vaccine candidate. However, limited neutralization breadth and difficulty in producing large amounts of homogeneous membrane-associated E1E2 have hampered efforts to develop an E1E2-based vaccine. Our previous work described the design and biochemical validation of a native-like soluble secreted form of E1E2 (sE1E2). Here, we describe the immunogenic characterization of the sE1E2 complex. sE1E2 elicited broadly neutralizing antibodies in immunized mice, with increased neutralization breadth relative to the membrane-associated E1E2, thereby validating this platform as a promising model system for vaccine development.
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- 2022
12. Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment
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Xiaoqin Zou, Théo Mauri, Hang Shi, Shaowen Zhu, Justas Dapkūnas, Yuanfei Sun, Didier Barradas-Bautista, Raphael A. G. Chaleil, Ragul Gowthaman, Sohee Kwon, Xianjin Xu, Zuzana Jandova, Genki Terashi, Ryota Ashizawa, Petras J. Kundrotas, Shuang Zhang, Tunde Aderinwale, Jian Liu, Sandor Vajda, Paul A. Bates, Jianlin Cheng, Daisuke Kihara, Luis A. Rodríguez-Lumbreras, Carlos A. Del Carpio Muñoz, Liming Qiu, Guillaume Brysbaert, Jorge Roel-Touris, Česlovas Venclovas, Tereza Clarence, Rui Yin, Amar Singh, Patryk A. Wesołowski, Rafał Ślusarz, Adam Liwo, Guangbo Yang, Agnieszka S. Karczyńska, Yoshiki Harada, Sergei Kotelnikov, Yuya Hanazono, Charlotte W. van Noort, Marc F. Lensink, Jonghun Won, Adam K. Sieradzan, Israel Desta, Xufeng Lu, Charles Christoffer, Anna Antoniak, Taeyong Park, Sheng-You Huang, Tsukasa Nakamura, Brian G. Pierce, Usman Ghani, Yang Shen, Luigi Cavallo, Chaok Seok, Hao Li, Nurul Nadzirin, Ghazaleh Taherzadeh, Jacob Verburgt, Rodrigo V. Honorato, Artur Giełdoń, Jeffrey J. Gray, Dima Kozakov, Ming Liu, Shan Chang, Eiichiro Ichiishi, Manon Réau, Rui Duan, Francesco Ambrosetti, Johnathan D. Guest, Juan Fernández-Recio, Alexandre M. J. J. Bonvin, Ilya A. Vakser, Farhan Quadir, Yumeng Yan, Ren Kong, Sameer Velankar, Sergei Grudinin, Mateusz Kogut, Mikhail Ignatov, Yasuomi Kiyota, Hyeonuk Woo, Shoshana J. Wodak, Ameya Harmalkar, Shinpei Kobayashi, Panagiotis I. Koukos, Zhen Cao, Kliment Olechnovič, Cezary Czaplewski, Xiao Wang, Agnieszka G. Lipska, Kathryn A. Porter, Peicong Lin, Emilia A. Lubecka, Nasser Hashemi, Bin Liu, Mayuko Takeda-Shitaka, Karolina Zięba, Dzmitry Padhorny, Zhuyezi Sun, Daipayan Sarkar, Romina Oliva, Andrey Alekseenko, Siri Camee van Keulen, Mireia Rosell, Raj S. Roy, Brian Jiménez-García, Jinsol Yang, Martyna Maszota-Zieleniak, Cancer Research UK, Department of Energy and Climate Change (UK), European Commission, Institut National de Recherche en Informatique et en Automatique (France), Medical Research Council (UK), Japan Society for the Promotion of Science, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), National Institute of General Medical Sciences (US), National Institutes of Health (US), National Natural Science Foundation of China, National Science Foundation (US), Unité de Glycobiologie Structurale et Fonctionnelle (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Biomolecular Modelling Laboratory [London], The Francis Crick Institute [London], Jiangsu University of Technology [Changzhou], Department of Electrical Engineering and Computer Science [Columbia] (EECS), University of Missouri [Columbia] (Mizzou), University of Missouri System-University of Missouri System, Institute for Data Science and Informatics [Columbia], University of Gdańsk (UG), Faculty of Electronics, Telecommunications and Informatics [GUT Gdańsk] (ETI), Gdańsk University of Technology (GUT), Medical University of Gdańsk, Graduate School of Medical Sciences [Nagoya], Nagoya City University [Nagoya, Japan], International University of Health and Welfare Hospital (IUHW Hospital), Department of Chemical and Biomolecular Engineering [Baltimore], Johns Hopkins University (JHU), Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], Stony Brook University [SUNY] (SBU), State University of New York (SUNY), Innopolis University, Boston University [Boston] (BU), Russian Academy of Sciences [Moscow] (RAS), Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Universidad de La Rioja (UR), Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Données, Apprentissage et Optimisation (DAO), Laboratoire Jean Kuntzmann (LJK), Université Grenoble Alpes (UGA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Huazhong University of Science and Technology [Wuhan] (HUST), Indiana University - Purdue University Indianapolis (IUPUI), Indiana University System, Graduate School of Information Sciences [Sendaï], Tohoku University [Sendai], National Institutes for Quantum and Radiological Science and Technology (QST), University of Maryland [Baltimore], King Abdullah University of Science and Technology (KAUST), University of Naples Federico II, Texas A&M University [Galveston], Seoul National University [Seoul] (SNU), Kitasato University, University of Kansas [Lawrence] (KU), Vilnius University [Vilnius], University of Missouri System, VIB-VUB Center for Structural Biology [Bruxelles], VIB [Belgium], Sub NMR Spectroscopy, Sub Overig UiLOTS, Sub Mathematics Education, NMR Spectroscopy, Université de Lille, CNRS, Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576, European Bioinformatics Institute [Hinxton] [EMBL-EBI], Department of Electrical Engineering and Computer Science [Columbia] [EECS], Faculty of Chemistry [Univ Gdańsk], Faculty of Electronics, Telecommunications and Informatics [GUT Gdańsk] [ETI], International University of Health and Welfare Hospital [IUHW Hospital], Johns Hopkins University [JHU], Stony Brook University [SUNY] [SBU], Department of Biomedical Engineering [Boston], Instituto de Ciencias de la Vid y el Vino [ICVV], Huazhong University of Science and Technology [Wuhan] [HUST], Indiana University - Purdue University Indianapolis [IUPUI], National Institutes for Quantum and Radiological Science and Technology [QST], King Abdullah University of Science and Technology [KAUST], Università degli Studi di Napoli 'Parthenope' = University of Naples [PARTHENOPE], Seoul National University [Seoul] [SNU], University of Kansas [Lawrence] [KU], University of Missouri [Columbia] [Mizzou], Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of Naples Federico II = Università degli studi di Napoli Federico II, European Project: 675728,H2020,H2020-EINFRA-2015-1,BioExcel(2015), European Project: 823830,H2020-EU.1.4.1.3. Development, deployment and operation of ICT-based e-infrastructures, H2020-EU.1.4. EXCELLENT SCIENCE - Research Infrastructures ,BioExcel-2(2019), European Project: 777536,H2020-EU.1.4.1.3. Development, deployment and operation of ICT-based e-infrastructures, and H2020-EU.1.4. EXCELLENT SCIENCE - Research Infrastructures,EOSC-hub(2018)
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Models, Molecular ,blind prediction ,CAPRI ,CASP ,docking ,oligomeric state ,protein assemblies ,protein complexes ,protein docking ,protein–protein interaction ,template-based modeling ,Computer science ,[SDV]Life Sciences [q-bio] ,Machine learning ,computer.software_genre ,Biochemistry ,Article ,protein-protein interaction ,03 medical and health sciences ,Sequence Analysis, Protein ,Structural Biology ,Server ,Protein Interaction Domains and Motifs ,Molecular Biology ,ComputingMilieux_MISCELLANEOUS ,030304 developmental biology ,0303 health sciences ,Binding Sites ,business.industry ,030302 biochemistry & molecular biology ,Computational Biology ,Proteins ,3. Good health ,Molecular Docking Simulation ,Artificial intelligence ,business ,computer ,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., Cancer Research UK, Grant/Award Number: FC001003; Changzhou Science and Technology Bureau, Grant/Award Number: CE20200503; Department of Energy and Climate Change, Grant/Award Numbers: DE-AR001213, DE-SC0020400, DE-SC0021303; H2020 European Institute of Innovation and Technology, Grant/Award Numbers: 675728, 777536, 823830; Institut national de recherche en informatique et en automatique (INRIA), Grant/Award Number: Cordi-S; Lietuvos Mokslo Taryba, Grant/Award Numbers: S-MIP-17-60, S-MIP-21-35; Medical Research Council, Grant/Award Number: FC001003; Japan Society for the Promotion of Science KAKENHI, Grant/Award Number: JP19J00950; Ministerio de Ciencia e Innovación, Grant/Award Number: PID2019-110167RB-I00; Narodowe Centrum Nauki, Grant/Award Numbers: UMO-2017/25/B/ST4/01026, UMO-2017/26/M/ST4/00044, UMO-2017/27/B/ST4/00926; National Institute of General Medical Sciences, Grant/Award Numbers: R21GM127952, R35GM118078, RM1135136, T32GM132024; National Institutes of Health, Grant/Award Numbers: R01GM074255, R01GM078221, R01GM093123, R01GM109980, R01GM133840, R01GN123055, R01HL142301, R35GM124952, R35GM136409; National Natural Science Foundation of China, Grant/Award Number: 81603152; National Science Foundation, Grant/Award Numbers: AF1645512, CCF1943008, CMMI1825941, DBI1759277, DBI1759934, DBI1917263, DBI20036350, IIS1763246, MCB1925643; NWO, Grant/Award Number: TOP-PUNT 718.015.001; Wellcome Trust, Grant/Award Number: FC001003
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- 2021
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13. Structural basis for recognition of two HLA-A2-restricted SARS-CoV-2 spike epitopes by public and private T cell receptors
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Yana Serdyuk, Ragul Gowthaman, Brian G. Pierce, Grigory A. Efimov, Rui Yin, Johnathan D. Guest, Daichao Wu, Anton Shmelev, Roy A. Mariuzza, and Alexander Kolesnikov
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Genetics ,biology ,Immunity ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,T-cell receptor ,biology.protein ,Homologous chromosome ,Antibody ,Gene ,Germline ,Epitope - Abstract
T cells play a vital role in combatting SARS-CoV-2 and in forming long-term memory responses. Whereas extensive structural information is available on neutralizing antibodies against SARS-CoV-2, such information on SARS-CoV-2-specific T cell receptors (TCRs) bound to their peptide–MHC targets is lacking. We determined structures of a public and a private TCR from COVID-19 convalescent patients in complex with HLA-A2 and two SARS-CoV-2 spike protein epitopes (YLQ and RLQ). The structures revealed the basis for selection of particular TRAV and TRBV germline genes by the public but not the private TCR, and for the ability of both TCRs to recognize natural variants of YLQ and RLQ but not homologous epitopes from human seasonal coronaviruses. By elucidating the mechanism for TCR recognition of an immunodominant yet variable epitope (YLQ) and a conserved but less commonly targeted epitope (RLQ), this study can inform prospective efforts to design vaccines to elicit pan-coronavirus immunity.
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- 2021
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14. Structural basis for recognition of two HLA-A2-restricted SARS-CoV-2 spike epitopes by public and private T cell receptors
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Daichao Wu, Alexander Kolesnikov, Rui Yin, Johnathan D. Guest, Ragul Gowthaman, Anton Shmelev, Yana Serdyuk, Grigory A. Efimov, Brian G. Pierce, and Roy A. Mariuzza
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T cells play a vital role in combatting SARS-CoV-2 and in forming long-term memory responses. Whereas extensive structural information is available on neutralizing antibodies against SARS-CoV-2, such information on SARS-CoV-2-specific T cell receptors (TCRs) bound to their peptide–MHC targets is lacking. We determined structures of a public and a private TCR from COVID-19 convalescent patients in complex with HLA-A2 and two SARS-CoV-2 spike protein epitopes (YLQ and RLQ). The structures revealed the basis for selection of particular TRAV and TRBV germline genes by the public but not the private TCR, and for the ability of both TCRs to recognize natural variants of YLQ and RLQ but not homologous epitopes from human seasonal coronaviruses. By elucidating the mechanism for TCR recognition of an immunodominant yet variable epitope (YLQ) and a conserved but less commonly targeted epitope (RLQ), this study can inform prospective efforts to design vaccines to elicit pan-coronavirus immunity.
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- 2021
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15. Structural and energetic profiling of SARS-CoV-2 antibody recognition and the impact of circulating variants
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John Quackenbush, I. Mittra, Johnathan D. Guest, Ghazaleh Taherzadeh, Rui Yin, Ragul Gowthaman, and Brian G. Pierce
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2019-20 coronavirus outbreak ,biology ,medicine.drug_class ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,medicine ,biology.protein ,Computational biology ,Protective antibody ,Antibody ,Unsupervised clustering ,Monoclonal antibody ,Binding Determinants ,Epitope - Abstract
The SARS-CoV-2 pandemic highlights the need for a detailed molecular understanding of protective antibody responses. This is underscored by the emergence and spread of SARS-CoV-2 variants, including B.1.1.7, P1, and B.1.351, some of which appear to be less effectively targeted by current monoclonal antibodies and vaccines. Here we report a high resolution and comprehensive map of antibody recognition of the SARS-CoV-2 spike receptor binding domain (RBD), which is the target of most neutralizing antibodies, using computational structural analysis. With a dataset of nonredundant experimentally determined antibody-RBD structures, we classified antibodies by RBD residue binding determinants using unsupervised clustering. We also identified the energetic and conservation features of epitope residues and assessed the capacity of viral variant mutations to disrupt antibody recognition, revealing sets of antibodies predicted to effectively target recently described viral variants. This detailed structure-based reference of antibody RBD recognition signatures can inform therapeutic and vaccine design strategies.
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- 2021
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16. An Expanded Benchmark for Antibody-Antigen Docking and Affinity Prediction Reveals Insights into Antibody Recognition Determinants
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Zhiping Weng, Iain H. Moal, Thom Vreven, Johnathan D. Guest, Jing Zhou, Jeffrey J. Gray, Jeliazko R. Jeliazkov, and Brian G. Pierce
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Computer science ,medicine.drug_class ,Protein Conformation ,Computational biology ,Antigen-Antibody Complex ,Monoclonal antibody ,Antibodies, Viral ,Article ,Antibodies ,03 medical and health sciences ,Structure-Activity Relationship ,Antigen ,Structural Biology ,medicine ,Antigens ,Molecular Biology ,030304 developmental biology ,Binding affinities ,0303 health sciences ,biology ,030302 biochemistry & molecular biology ,Antibodies, Monoclonal ,Computational Biology ,Single-Domain Antibodies ,Affinities ,Molecular Docking Simulation ,Benchmarking ,Docking (molecular) ,Benchmark (computing) ,biology.protein ,Antibody antigen ,Modeling and design ,Antibody ,Algorithms ,Broadly Neutralizing Antibodies ,Software ,Protein Binding - Abstract
Accurate predictive modeling of antibody-antigen complex structures and structure-based antibody design remain major challenges in computational biology, with implications for biotherapeutics, immunity, and vaccines. Through a systematic search for high-resolution structures of antibody-antigen complexes and unbound antibody and antigen structures, in conjunction with identification of experimentally determined binding affinities, we have assembled a non-redundant set of test cases for antibody-antigen docking and affinity prediction. This benchmark more than doubles the number of antibody-antigen complexes and corresponding affinities available in our previous benchmarks, providing an unprecedented view of the determinants of antibody recognition and insights into molecular flexibility. Initial assessments of docking and affinity prediction tools highlight the challenges posed by this diverse set of cases, which includes camelid nanobodies, therapeutic monoclonal antibodies, and broadly neutralizing antibodies targeting viral glycoproteins. This dataset will enable development of advanced predictive modeling and design methods for this therapeutically relevant class of protein-protein interactions.
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- 2021
17. Design of a native-like secreted form of the hepatitis C virus E1E2 heterodimer
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Alexander K. Andrianov, Ruixue Wang, Roy A. Mariuzza, Steven K. H. Foung, Andrezza Chagas, Thomas E. Cleveland, Young Chang Kim, Abdul S. Yunus, Zhen-Yong Keck, Alexander Marin, Thomas R. Fuerst, Kinlin L. Chao, Johnathan D. Guest, Eric A. Toth, Brian G. Pierce, and Khadija Elkholy
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Models, Molecular ,Viral Hepatitis Vaccines ,0301 basic medicine ,Protein Conformation ,Gene Expression ,Hepacivirus ,Protein Engineering ,Virus ,Epitope ,Tetraspanin 28 ,Epitopes ,Mice ,03 medical and health sciences ,Immunogenicity, Vaccine ,0302 clinical medicine ,Viral Envelope Proteins ,Viral envelope ,Antigen ,Glycoprotein complex ,Animals ,Humans ,Neutralizing antibody ,Furin ,Multidisciplinary ,biology ,Vaccination ,Antibodies, Monoclonal ,Biological Sciences ,Hepatitis C Antibodies ,Antibodies, Neutralizing ,Hepatitis C ,Virology ,Recombinant Proteins ,Transmembrane domain ,030104 developmental biology ,Solubility ,biology.protein ,Receptors, Virus ,Female ,030211 gastroenterology & hepatology ,Protein Multimerization ,Epitope Mapping ,Protein Binding - Abstract
Hepatitis C virus (HCV) is a major worldwide health burden, and a preventive vaccine is needed for global control or eradication of this virus. A substantial hurdle to an effective HCV vaccine is the high variability of the virus, leading to immune escape. The E1E2 glycoprotein complex contains conserved epitopes and elicits neutralizing antibody responses, making it a primary target for HCV vaccine development. However, the E1E2 transmembrane domains that are critical for native assembly make it challenging to produce this complex in a homogenous soluble form that is reflective of its state on the viral envelope. To enable rational design of an E1E2 vaccine, as well as structural characterization efforts, we have designed a soluble, secreted form of E1E2 (sE1E2). As with soluble glycoprotein designs for other viruses, it incorporates a scaffold to enforce assembly in the absence of the transmembrane domains, along with a furin cleavage site to permit native-like heterodimerization. This sE1E2 was found to assemble into a form closer to its expected size than full-length E1E2. Preservation of native structural elements was confirmed by high-affinity binding to a panel of conformationally specific monoclonal antibodies, including two neutralizing antibodies specific to native E1E2 and to its primary receptor, CD81. Finally, sE1E2 was found to elicit robust neutralizing antibodies in vivo. This designed sE1E2 can both provide insights into the determinants of native E1E2 assembly and serve as a platform for production of E1E2 for future structural and vaccine studies, enabling rational optimization of an E1E2-based antigen.
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- 2021
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18. Structure-Based Design of Hepatitis C Virus E2 Glycoprotein Improves Serum Binding and Cross-Neutralization
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Johnathan D. Guest, Kyle Garagusi, Steven K. H. Foung, Melissa C. Kerzic, Zhen-Yong Keck, Alexander K. Andrianov, Jonathan K. Ball, Richard A. Urbanowicz, Khadija Elkholy, Eric A. Toth, Brian G. Pierce, Patrick Lau, Ruixue Wang, Pragati Agnihotri, Alexander Marin, Roy A. Mariuzza, and Thomas R. Fuerst
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Models, Molecular ,Viral Hepatitis Vaccines ,Antigenicity ,medicine.drug_class ,Protein Conformation ,Immunology ,Population ,Hepacivirus ,Monoclonal antibody ,Microbiology ,Epitope ,Cell Line ,03 medical and health sciences ,Epitopes ,Mice ,Immunogenicity, Vaccine ,Antigen ,Viral Envelope Proteins ,Neutralization Tests ,Virology ,Vaccines and Antiviral Agents ,medicine ,Animals ,Humans ,education ,Antigens, Viral ,030304 developmental biology ,0303 health sciences ,education.field_of_study ,biology ,Immunogenicity ,030302 biochemistry & molecular biology ,Antibodies, Monoclonal ,Hepatitis C Antibodies ,Antibodies, Neutralizing ,Hepatitis C ,Hypervariable region ,HEK293 Cells ,Polyclonal antibodies ,Insect Science ,Antibody Formation ,biology.protein ,Female ,Antibody - Abstract
Copyright © 2020 American Society for Microbiology. An effective vaccine for hepatitis C virus (HCV) is a major unmet need, and it requires an antigen that elicits immune responses to key conserved epitopes. Based on structures of antibodies targeting HCV envelope glycoprotein E2, we designed immunogens to modulate the structure and dynamics of E2 and favor induction of broadly neutralizing antibodies (bNAbs) in the context of a vaccine. These designs include a point mutation in a key conserved antigenic site to stabilize its conformation, as well as redesigns of an immunogenic region to add a new N-glycosylation site and mask it from antibody binding. Designs were experimentally characterized for binding to a panel of human monoclonal antibodies (HMAbs) and the coreceptor CD81 to confirm preservation of epitope structure and preferred antigenicity profile. Selected E2 designs were tested for immunogenicity in mice, with and without hypervariable region 1, which is an immunogenic region associated with viral escape. One of these designs showed improvement in polyclonal immune serum binding to HCV pseudoparticles and neutralization of isolates associated with antibody resistance. These results indicate that antigen optimization through structure-based design of the envelope glycoproteins is a promising route to an effective vaccine for HCV.IMPORTANCE Hepatitis C virus infects approximately 1% of the world's population, and no vaccine is currently available. Due to the high variability of HCV and its ability to actively escape the immune response, a goal of HCV vaccine design is to induce neutralizing antibodies that target conserved epitopes. Here, we performed structure-based design of several epitopes of the HCV E2 envelope glycoprotein to engineer its antigenic properties. Designs were tested in vitro and in vivo, demonstrating alteration of the E2 antigenic profile in several cases, and one design led to improvement of cross-neutralization of heterologous viruses. This represents a proof of concept that rational engineering of HCV envelope glycoproteins can be used to modulate E2 antigenicity and optimize a vaccine for this challenging viral target.
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- 2020
19. CoV3D: A database and resource for high resolution coronavirus protein structures
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Jared Adolf-Bryfogle, Rui Yin, Ragul Gowthaman, William R. Schief, Brian G. Pierce, and Johnathan D. Guest
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Glycan ,Coronavirus disease 2019 (COVID-19) ,Computer science ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,High resolution ,computer.software_genre ,medicine.disease_cause ,Virus ,03 medical and health sciences ,Resource (project management) ,Protein structure ,medicine ,030304 developmental biology ,Coronavirus ,chemistry.chemical_classification ,0303 health sciences ,biology ,Database ,030306 microbiology ,3. Good health ,chemistry ,Rapid rise ,biology.protein ,Spike (software development) ,Antibody ,Glycoprotein ,computer - Abstract
SARS-CoV-2, the etiologic agent behind COVID-19, exemplifies the general threat to global health posed by coronaviruses. The urgent need for effective vaccines and therapies is leading to a rapid rise in the number of high resolution structures of SARS-CoV-2 proteins that collectively reveal a map of virus vulnerabilities. To assist structure-based design of vaccines and therapeutics against SARS-CoV-2 and other coronaviruses, we have developed CoV3D, a database and resource for coronavirus protein structures, which is updated on a weekly basis. CoV3D provides users with comprehensive sets of structures of coronavirus proteins and their complexes with antibodies, receptors, and small molecules. Integrated molecular viewers allow users to visualize structures of the spike glycoprotein, which is the major target of neutralizing antibodies and vaccine design efforts, as well as sets of spike-antibody complexes, spike sequence variability, and known polymorphisms. In order to aid structure-based design and analysis of the spike glycoprotein, CoV3D permits visualization and download of spike structures with modeled N-glycosylation at known glycan sites, and contains structure-based classification of spike conformations, generated by unsupervised clustering. CoV3D can serve the research community as a centralized reference and resource for spike and other coronavirus protein structures, and is available at: https://cov3d.ibbr.umd.edu.
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- 2020
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20. Structural and energetic profiling of SARS-CoV-2 receptor binding domain antibody recognition and the impact of circulating variants
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Johnathan D. Guest, Ghazaleh Taherzadeh, Jane Quackenbush, Rui Yin, Ragul Gowthaman, Ipsa Mittra, and Brian G. Pierce
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RNA viruses ,Models, Molecular ,Physiology ,Coronaviruses ,Plasma protein binding ,Antibodies, Viral ,Biochemistry ,Physical Chemistry ,Epitope ,Binding Analysis ,Mathematical and Statistical Techniques ,Alanine Scanning ,Immune Physiology ,Medicine and Health Sciences ,Cluster Analysis ,Biology (General) ,Pathology and laboratory medicine ,Immune System Proteins ,Ecology ,biology ,Medical microbiology ,Chemistry ,Computational Theory and Mathematics ,Modeling and Simulation ,Viruses ,Physical Sciences ,Spike Glycoprotein, Coronavirus ,Amino Acid Analysis ,SARS CoV 2 ,Pathogens ,Antibody ,Unsupervised clustering ,Research Article ,Protein Binding ,SARS coronavirus ,QH301-705.5 ,medicine.drug_class ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Immunology ,Computational biology ,Research and Analysis Methods ,Monoclonal antibody ,Microbiology ,Antibodies ,Cellular and Molecular Neuroscience ,Genetics ,medicine ,Humans ,Binding site ,Hierarchical Clustering ,Molecular Biology Techniques ,Molecular Biology ,Chemical Characterization ,Ecology, Evolution, Behavior and Systematics ,Molecular Biology Assays and Analysis Techniques ,Binding Sites ,Chemical Bonding ,SARS-CoV-2 ,Organisms ,Viral pathogens ,Biology and Life Sciences ,Proteins ,COVID-19 ,Computational Biology ,Hydrogen Bonding ,Microbial pathogens ,Mutagenesis ,biology.protein ,Binding Determinants - Abstract
The SARS-CoV-2 pandemic highlights the need for a detailed molecular understanding of protective antibody responses. This is underscored by the emergence and spread of SARS-CoV-2 variants, including Alpha (B.1.1.7) and Delta (B.1.617.2), some of which appear to be less effectively targeted by current monoclonal antibodies and vaccines. Here we report a high resolution and comprehensive map of antibody recognition of the SARS-CoV-2 spike receptor binding domain (RBD), which is the target of most neutralizing antibodies, using computational structural analysis. With a dataset of nonredundant experimentally determined antibody-RBD structures, we classified antibodies by RBD residue binding determinants using unsupervised clustering. We also identified the energetic and conservation features of epitope residues and assessed the capacity of viral variant mutations to disrupt antibody recognition, revealing sets of antibodies predicted to effectively target recently described viral variants. This detailed structure-based reference of antibody RBD recognition signatures can inform therapeutic and vaccine design strategies., Author summary The ongoing COVID-19 pandemic, and the emergence of SARS-CoV-2 variants that evade antibodies induced by vaccines and natural infection, highlights the need for assessment of key molecular and structural features of immune responses against the SARS-CoV-2 virus. Using a large nonredundant set of structures of monoclonal antibodies in complex with the SARS-CoV-2 spike receptor binding domain, we performed analysis of molecular determinants of antibody recognition of the spike glycoprotein, mapping key residues through analysis of atomic contacts and computational modeling to identify molecular hotspots. Clustering was used to identify four major groups of antibodies based on target residues, and we compared epitope conservation and impact of SARS-CoV-2 variant mutations, showing that certain sets of antibodies predicted to be affected by those variants, while others are capable of targeting escape variants. This analysis can serve as a useful reference for vaccine and immunotherapeutic studies, and we provide updated classifications of antibodies to the research community on our CoV3D site.
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- 2021
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21. Antigenicity and Immunogenicity of Differentially Glycosylated Hepatitis C Virus E2 Envelope Proteins Expressed in Mammalian and Insect Cells
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Sneha Rangarajan, Zhen-Yong Keck, Richard A. Urbanowicz, Patrick Lau, Melissa C. Kerzic, Johnathan D. Guest, Brian G. Pierce, Thomas R. Fuerst, Steven K. H. Foung, Ruixue Wang, Lei Tan, Jonathan K. Ball, Roy A. Mariuzza, John E. Schiel, and Kyle Garagusi
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hepatitis C virus ,Glycosylation ,Insecta ,Hepacivirus ,immunogenicity ,Epitope ,Epitopes ,Mice ,chemistry.chemical_compound ,Viral Envelope Proteins ,vaccine ,Sf9 Cells ,mammalian cells ,Neutralizing antibody ,Mammals ,chemistry.chemical_classification ,0303 health sciences ,Immunogenicity ,030302 biochemistry & molecular biology ,Hepatitis C ,3. Good health ,insect cells ,HCV ,Female ,Antibody ,Antigenicity ,Immunology ,Biology ,Microbiology ,Cell Line ,03 medical and health sciences ,Antigen ,Polysaccharides ,Virology ,Vaccines and Antiviral Agents ,Animals ,Humans ,030304 developmental biology ,envelope glycoproteins ,Hepatitis C Antibodies ,neutralization ,Antibodies, Neutralizing ,HEK293 Cells ,chemistry ,Insect Science ,Antibody Formation ,biology.protein ,Glycoprotein - Abstract
The development of a vaccine for hepatitis C virus (HCV) remains a global health challenge. A major challenge for vaccine development is focusing the immune response on conserved regions of the HCV envelope protein, E2, capable of eliciting neutralizing antibodies. Modification of E2 by glycosylation might influence the immunogenicity of E2. Accordingly, we performed molecular and immunogenic comparisons of E2 produced in mammalian and insect cells. Mass spectrometry demonstrated that the predicted glycosylation sites were utilized in both mammalian and insect cell E2, although the glycan types in insect cell E2 were smaller and less complex. Mouse immunogenicity studies revealed similar polyclonal antibody responses. However, insect cell E2 induced stronger neutralizing antibody responses against the homologous isolate used in the vaccine, albeit the two proteins elicited comparable neutralization titers against heterologous isolates. A more productive approach for vaccine development may be complete deletion of specific glycans in the E2 protein., The development of a prophylactic vaccine for hepatitis C virus (HCV) remains a global health challenge. Cumulative evidence supports the importance of antibodies targeting the HCV E2 envelope glycoprotein to facilitate viral clearance. However, a significant challenge for a B cell-based vaccine is focusing the immune response on conserved E2 epitopes capable of eliciting neutralizing antibodies not associated with viral escape. We hypothesized that glycosylation might influence the antigenicity and immunogenicity of E2. Accordingly, we performed head-to-head molecular, antigenic, and immunogenic comparisons of soluble E2 (sE2) produced in (i) mammalian (HEK293) cells, which confer mostly complex- and high-mannose-type glycans; and (ii) insect (Sf9) cells, which impart mainly paucimannose-type glycans. Mass spectrometry demonstrated that all 11 predicted N-glycosylation sites were utilized in both HEK293- and Sf9-derived sE2, but that N-glycans in insect sE2 were on average smaller and less complex. Both proteins bound CD81 and were recognized by conformation-dependent antibodies. Mouse immunogenicity studies revealed that similar polyclonal antibody responses were generated against antigenic domains A to E of E2. Although neutralizing antibody titers showed that Sf9-derived sE2 induced moderately stronger responses than did HEK293-derived sE2 against the homologous HCV H77c isolate, the two proteins elicited comparable neutralization titers against heterologous isolates. Given that global alteration of HCV E2 glycosylation by expression in different hosts did not appreciably affect antigenicity or overall immunogenicity, a more productive approach to increasing the antibody response to neutralizing epitopes may be complete deletion, rather than just modification, of specific N-glycans proximal to these epitopes. IMPORTANCE The development of a vaccine for hepatitis C virus (HCV) remains a global health challenge. A major challenge for vaccine development is focusing the immune response on conserved regions of the HCV envelope protein, E2, capable of eliciting neutralizing antibodies. Modification of E2 by glycosylation might influence the immunogenicity of E2. Accordingly, we performed molecular and immunogenic comparisons of E2 produced in mammalian and insect cells. Mass spectrometry demonstrated that the predicted glycosylation sites were utilized in both mammalian and insect cell E2, although the glycan types in insect cell E2 were smaller and less complex. Mouse immunogenicity studies revealed similar polyclonal antibody responses. However, insect cell E2 induced stronger neutralizing antibody responses against the homologous isolate used in the vaccine, albeit the two proteins elicited comparable neutralization titers against heterologous isolates. A more productive approach for vaccine development may be complete deletion of specific glycans in the E2 protein.
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- 2019
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22. Broadly neutralizing antibodies from an individual that naturally cleared multiple hepatitis C virus infections uncover molecular determinants for E2 targeting and vaccine design
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Melanie R. Walker, Jens Bukh, Rowena A. Bull, Andrew R. Lloyd, Patrick Lau, Janine Lu, Thomas F. Baumert, Steven K. H. Foung, Yong Wang, Fabio Luciani, Jannick Prentoe, Alexander Underwood, Brian G. Pierce, Rodrigo Velázquez-Moctezuma, Johnathan D. Guest, Catherine Fauvelle, Zhen-Yong Keck, Bodescot, Myriam, Initiative d'excellence - Par-delà les frontières, l'Université de Strasbourg - - UNISTRA2010 - ANR-10-IDEX-0002 - IDEX - VALID, Human monoclonal antibody therapy to prevent hepatitis C virus reinfection of liver transplants: advancing lead monoclonal antibodies into clinical trial - HEPAMAB - - EC:FP7:HEALTH2013-01-01 - 2017-12-31 - 305600 - VALID, Department of Pathology [Stanford], Stanford Medicine, Stanford University-Stanford University, Institute for Bioscience and Biotechnology Research [Rockville, MD, États-Unis] (IBBR), University of Maryland [College Park], University of Maryland System-University of Maryland System, Department of Cell Biology and Molecular Genetics [College Park, MD, États-Unis], Viral Immunology Systems Program [Sydney, Australie], The Kirby Institute and School of Medical Sciences [Sydney, Australie], University of New South Wales [Sydney] (UNSW)-University of New South Wales [Sydney] (UNSW), Copenhagen Hepatitis C Program [Copenhague, Danemark] (CO-HEP), Hvidovre Hospital-University of Copenhagen = Københavns Universitet (UCPH), Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Pôle hépato-digestif [Strasbourg], CHU Strasbourg, This study was supported in part by NIH grants U19-AI123862 (SKHF and TFB), R21-AI126582 (BGP, SKHF), R01-AI132213 (BGP, SKHF), the Danish Council for Independent Research DFF-4004-00598 (JB) and the Novo Nordisk Foundation NNF17OC0029372 (JB). The HITS-p cohort has been supported by grants from National Health and Medical Resdearch Council of Australia (NHMRC) (Nos. 222887 and 1016351), including NSW Health, Justice Health, and Corrective Services NSW as partners. AL is supported by a NHMRC Practitioner Fellowship (No. 1043067). RAB is supported by a NHMRC Career Development Fellowship (No. APP1084706). TFB acknowledges grant support by the European Union (ERC-AdG-2014-HEPCIR, FP7 HepaMab and Interreg IV FEDER-Hepato-Regio-Net 2012), the Agence Nationale de Recherche sur le SIDA and LABEX ANR-10-LABX-0028-HEPSYS. JDG is supported by the University of Maryland Virology Program graduate training grant (NIH T32-AI125186). This work was also supported by the Australian Government Department of Health National Health and Medical Research Council (NHMCR, https://www.nhmrc.gov.au/) grants including NSW Health, Justice Health, and Corrective Services NSW as partners (222887 and 1016351)., ANR-10-IDEX-0002,UNISTRA,Par-delà les frontières, l'Université de Strasbourg(2010), European Project: 305600,EC:FP7:HEALTH,FP7-HEALTH-2012-INNOVATION-1,HEPAMAB(2013), University of Copenhagen = Københavns Universitet (KU)-Hvidovre Hospital, and ANR-10-IDEX-0002,UNISTRA,Functional genomics of viral hepatitis and liver disease(2010)
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Male ,RNA viruses ,Physiology ,Sequence Homology ,Antibody Response ,Hepacivirus ,medicine.disease_cause ,Biochemistry ,Epitope ,Database and Informatics Methods ,Viral Envelope Proteins ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Immune Physiology ,Medicine and Health Sciences ,Prospective Studies ,Enzyme-Linked Immunoassays ,Biology (General) ,Immune Response ,Pathology and laboratory medicine ,0303 health sciences ,Immune System Proteins ,Hepatitis C virus ,030302 biochemistry & molecular biology ,Antibodies, Monoclonal ,Medical microbiology ,Hepatitis C ,3. Good health ,Viruses ,[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,[SDV.IMM]Life Sciences [q-bio]/Immunology ,Viral Clearance ,Pathogens ,Antibody ,Sequence Analysis ,Research Article ,Adult ,Viral Hepatitis Vaccines ,Genotype ,[SDV.IMM] Life Sciences [q-bio]/Immunology ,Bioinformatics ,medicine.drug_class ,QH301-705.5 ,Immunology ,Sequence Databases ,Sciences du Vivant [q-bio]/Médecine humaine et pathologie ,Biology ,Research and Analysis Methods ,Monoclonal antibody ,Microbiology ,Antibodies ,Virus ,Affinity maturation ,Young Adult ,03 medical and health sciences ,Antigen ,Neutralization Tests ,Virology ,Genetics ,medicine ,Humans ,Amino Acid Sequence ,Antigens ,Immunoassays ,Molecular Biology Techniques ,Molecular Biology ,030304 developmental biology ,Flaviviruses ,Gene Mapping ,Organisms ,Viral pathogens ,Biology and Life Sciences ,Proteins ,Hepatitis C Antibodies ,RC581-607 ,Antibodies, Neutralizing ,Hepatitis viruses ,Microbial pathogens ,Biological Databases ,Epitope mapping ,Drug Design ,Immunologic Techniques ,biology.protein ,Parasitology ,Immunologic diseases. Allergy ,Epitope Mapping ,Viral Transmission and Infection - Abstract
Cumulative evidence supports a role for neutralizing antibodies contributing to spontaneous viral clearance during acute hepatitis C virus (HCV) infection. Information on the timing and specificity of the B cell response associated with clearance is crucial to inform vaccine design. From an individual who cleared three sequential HCV infections with genotypes 1b, 1a and 3a strains, respectively, we employed peripheral B cells to isolate and characterize neutralizing human monoclonal antibodies (HMAbs) to HCV after the genotype 1 infections. The majority of isolated antibodies, designated as HMAbs 212, target conformational epitopes on the envelope glycoprotein E2 and bound broadly to genotype 1–6 E1E2 proteins. Further, some of these antibodies showed neutralization potential against cultured genotype 1–6 viruses. Competition studies with defined broadly neutralizing HCV HMAbs to epitopes in distinct clusters, designated antigenic domains B, C, D and E, revealed that the selected HMAbs compete with B, C and D HMAbs, previously isolated from subjects with chronic HCV infections. Epitope mapping studies revealed domain B and C specificity of these HMAbs 212. Sequential serum samples from the studied subject inhibited the binding of HMAbs 212 to autologous E2 and blocked a representative domain D HMAb. The specificity of this antibody response appears similar to that observed during chronic infection, suggesting that the timing and affinity maturation of the antibody response are the critical determinants in successful and repeated viral clearance. While additional studies should be performed for individuals with clearance or persistence of HCV, our results define epitope determinants for antibody E2 targeting with important implications for the development of a B cell vaccine., Author summary Studies of hepatitis C virus (HCV) infected individuals spontaneously clearing acute infections provide an opportunity to characterize the specificities of associated protective antibody responses. In an individual who resolved three separate HCV infections with different HCV genotypes, the antibodies induced during these acute infection episodes were similar to those induced during chronic infection. Surprisingly, the earliest detected antibodies were directed against conformational HCV epitopes on the envelope glycoprotein E2 (including polyprotein residues 434–446) known to be targeted by broadly neutralizing antibodies. Taken together, the key B-cell determinants in spontaneous clearance are the timing and affinity maturation of broadly neutralizing antibody responses.
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- 2019
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23. Zika virus NS5 protein antagonizes type I interferon production via blocking TBK1 activation
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Shixing Yang, Qiyi Tang, Shaoli Lin, Johnathan D. Guest, Yan-Jin Zhang, Zexu Ma, Brian G. Pierce, Liping Yang, and Jia He
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viruses ,Biology ,Protein Serine-Threonine Kinases ,Viral Nonstructural Proteins ,Article ,Zika virus ,Cell Line ,03 medical and health sciences ,Flaviviridae ,TANK-binding kinase 1 ,Interferon ,Virology ,Catalytic Domain ,medicine ,Humans ,Protein Interaction Domains and Motifs ,Phosphorylation ,030304 developmental biology ,TNF Receptor-Associated Factor 6 ,0303 health sciences ,Zika Virus Infection ,030302 biochemistry & molecular biology ,Intracellular Signaling Peptides and Proteins ,RNA virus ,Interferon-beta ,Zika Virus ,Type I interferon production ,biology.organism_classification ,Immunity, Innate ,Tumor necrosis factor alpha ,Interferon Regulatory Factor-3 ,IRF3 ,medicine.drug ,Protein Binding ,Signal Transduction - Abstract
Zika virus (ZIKV) is a mosquito-borne positive-sense single-stranded RNA virus in the family of Flaviviridae. Unlike other flaviviruses, ZIKV infection of pregnant women may result in birth defects in their newborns, such as microcephaly or vision problem. ZIKV is known to antagonize the interferon (IFN) production in infected cells. However, the exact mechanism of this interference is not fully understood. Here, we demonstrate that NS5 protein of ZIKV MR766 strain antagonizes IFN production through inhibiting the activation of TANK-binding kinase 1 (TBK1), which phosphorylates the transcription activator IFN regulatory factor 3 (IRF3). Mechanistically, NS5 interacts with the ubiquitin-like domain of TBK1 and results in less complex of TBK1 and TNF (tumor necrosis factor) receptor-associated factor 6 (TRAF6), leading to dampened TBK1 activation and IRF3 phosphorylation. Our study provides insights into the mechanism of ZIKV evasion of IFN-mediated innate immunity.
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- 2018
24. Probing the antigenicity of hepatitis C virus envelope glycoprotein complex by high-throughput mutagenesis
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Andrew Honda, Leopold Kong, Ian A. Wilson, Radhika Gopal, Jennifer M. Pfaff, Edgar Davidson, Mansun Law, Johnathan D. Guest, Trevor Barnes, Kelli N Jackson, Erick Giang, Netanel Tzarum, Benjamin J. Doranz, and Andrew Ettenger
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0301 basic medicine ,Models, Molecular ,Protein Folding ,Physiology ,Hepacivirus ,Antibodies, Viral ,Protein Engineering ,Biochemistry ,Epitope ,Epitopes ,Binding Analysis ,Spectrum Analysis Techniques ,Viral Envelope Proteins ,Immune Physiology ,Medicine and Health Sciences ,Enzyme-Linked Immunoassays ,Amino Acids ,lcsh:QH301-705.5 ,Antigens, Viral ,chemistry.chemical_classification ,Alanine ,Crystallography ,Immune System Proteins ,Protein Stability ,Organic Compounds ,Physics ,Antibodies, Monoclonal ,Alanine scanning ,Flow Cytometry ,Condensed Matter Physics ,Recombinant Proteins ,3. Good health ,Cell biology ,Chemistry ,Spectrophotometry ,Physical Sciences ,Crystal Structure ,Cytophotometry ,Research Article ,lcsh:Immunologic diseases. Allergy ,Viral Hepatitis Vaccines ,Antigenicity ,030106 microbiology ,Immunology ,Research and Analysis Methods ,Microbiology ,Antibodies ,Tetraspanin 28 ,03 medical and health sciences ,Glycoprotein complex ,Viral entry ,Virology ,Genetics ,Animals ,Humans ,Solid State Physics ,Point Mutation ,Amino Acid Sequence ,Immunoassays ,Molecular Biology ,Chemical Characterization ,Organic Chemistry ,Chemical Compounds ,Biology and Life Sciences ,Proteins ,Protein engineering ,Virus Internalization ,High-Throughput Screening Assays ,030104 developmental biology ,Epitope mapping ,lcsh:Biology (General) ,chemistry ,Aliphatic Amino Acids ,Mutagenesis ,Mutation ,Immunologic Techniques ,Parasitology ,lcsh:RC581-607 ,Glycoprotein ,Epitope Mapping - Abstract
The hepatitis C virus (HCV) envelope glycoproteins E1 and E2 form a non-covalently linked heterodimer on the viral surface that mediates viral entry. E1, E2 and the heterodimer complex E1E2 are candidate vaccine antigens, but are technically challenging to study because of difficulties in producing natively folded proteins by standard protein expression and purification methods. To better comprehend the antigenicity of these proteins, a library of alanine scanning mutants comprising the entirety of E1E2 (555 residues) was created for evaluating the role of each residue in the glycoproteins. The mutant library was probed, by a high-throughput flow cytometry-based assay, for binding with the co-receptor CD81, and a panel of 13 human and mouse monoclonal antibodies (mAbs) that target continuous and discontinuous epitopes of E1, E2, and the E1E2 complex. Together with the recently determined crystal structure of E2 core domain (E2c), we found that several residues in the E2 back layer region indirectly impact binding of CD81 and mAbs that target the conserved neutralizing face of E2. These findings highlight an unexpected role for the E2 back layer in interacting with the E2 front layer for its biological function. We also identified regions of E1 and E2 that likely located at or near the interface of the E1E2 complex, and determined that the E2 back layer also plays an important role in E1E2 complex formation. The conformation-dependent reactivity of CD81 and the antibody panel to the E1E2 mutant library provides a global view of the influence of each amino acid (aa) on E1E2 expression and folding. This information is valuable for guiding protein engineering efforts to enhance the antigenic properties and stability of E1E2 for vaccine antigen development and structural studies., Author summary The function and structure of the hepatitis C virus envelope glycoprotein complex E1E2 is poorly understood because of difficulties in producing pure and correctly folded proteins for biochemical and structural analysis. Here, we use monoclonal antibodies to non-overlapping epitopes on E1E2, as well as the CD81 co-receptor, to probe a complete alanine-scanning library of the E1E2 protein. This comprehensive binding study delineates the antigenic regions of E1E2. This information is valuable for understanding the folding of E1E2 and for vaccine antigen design efforts.
- Published
- 2017
25. Structural and energetic profiling of SARS-CoV-2 receptor binding domain antibody recognition and the impact of circulating variants.
- Author
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Rui Yin, Johnathan D Guest, Ghazaleh Taherzadeh, Ragul Gowthaman, Ipsa Mittra, Jane Quackenbush, and Brian G Pierce
- Subjects
Biology (General) ,QH301-705.5 - Abstract
The SARS-CoV-2 pandemic highlights the need for a detailed molecular understanding of protective antibody responses. This is underscored by the emergence and spread of SARS-CoV-2 variants, including Alpha (B.1.1.7) and Delta (B.1.617.2), some of which appear to be less effectively targeted by current monoclonal antibodies and vaccines. Here we report a high resolution and comprehensive map of antibody recognition of the SARS-CoV-2 spike receptor binding domain (RBD), which is the target of most neutralizing antibodies, using computational structural analysis. With a dataset of nonredundant experimentally determined antibody-RBD structures, we classified antibodies by RBD residue binding determinants using unsupervised clustering. We also identified the energetic and conservation features of epitope residues and assessed the capacity of viral variant mutations to disrupt antibody recognition, revealing sets of antibodies predicted to effectively target recently described viral variants. This detailed structure-based reference of antibody RBD recognition signatures can inform therapeutic and vaccine design strategies.
- Published
- 2021
- Full Text
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