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The antigenic anatomy of SARS-CoV-2 receptor binding domain

Abstract:
Antibodies are crucial to immune protection against SARS-CoV-2, with some in emergency use as therapeutics. Here, we identify 377 human monoclonal antibodies (mAbs) recognizing the virus spike and focus mainly on 80 that bind the receptor binding domain (RBD). We devise a competition data-driven method to map RBD binding sites. We find that although antibody binding sites are widely dispersed, neutralizing antibody binding is focused, with nearly all highly inhibitory mAbs (IC50 < 0.1 μg/mL) blocking receptor interaction, except for one that binds a unique epitope in the N-terminal domain. Many of these neutralizing mAbs use public V-genes and are close to germline. We dissect the structural basis of recognition for this large panel of antibodies through X-ray crystallography and cryoelectron microscopy of 19 Fab-antigen structures. We find novel binding modes for some potently inhibitory antibodies and demonstrate that strongly neutralizing mAbs protect, prophylactically or therapeutically, in animal models.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.cell.2021.02.032

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Structural Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Structural Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author


Publisher:
Cell Press
Journal:
Cell More from this journal
Volume:
184
Issue:
8
Pages:
2183-2200
Publication date:
2021-02-18
Acceptance date:
2021-02-13
DOI:
EISSN:
1097-4172
ISSN:
0092-8674


Language:
English
Keywords:
Pubs id:
1163223
Local pid:
pubs:1163223
Deposit date:
2021-02-23
ARK identifier:

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