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Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies

Abstract:

Identifying the epitope of an antibody is a key step in understanding its function and its potential as a therapeutic. Sequence-based clonal clustering can identify antibodies with similar epitope complementarity, however, antibodies from markedly different lineages but with similar structures can engage the same epitope. We describe a novel computational method for epitope profiling based on structural modelling and clustering. Using the method, we demonstrate that sequence dissimilar but fu...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pcbi.1009675

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Publisher:
Public Library of Science
Journal:
PLoS Computational Biology More from this journal
Volume:
17
Issue:
12
Article number:
e1009675
Publication date:
2021-12-13
Acceptance date:
2021-11-22
DOI:
EISSN:
1553-734X
Language:
English
Keywords:
Pubs id:
1222780
Local pid:
pubs:1222787
Deposit date:
2021-12-09

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