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Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants

Authors :
Bo-Seong Jeong
Jeong Seok Cha
Insu Hwang
Uijin Kim
Jared Adolf-Bryfogle
Brian Coventry
Hyun-Soo Cho
Kyun-Do Kim
Byung-Ha Oh
Source :
mAbs, Vol 14, Iss 1 (2022)
Publication Year :
2022
Publisher :
Taylor & Francis Group, 2022.

Abstract

Coronavirus disease 2019, caused by SARS-CoV-2, remains an on-going pandemic, partly due to the emergence of variant viruses that can “break-through” the protection of the current vaccines and neutralizing antibodies (nAbs), highlighting the needs for broadly nAbs and next-generation vaccines. We report an antibody that exhibits breadth and potency in binding the receptor-binding domain (RBD) of the virus spike glycoprotein across SARS coronaviruses. Initially, a lead antibody was computationally discovered and crystallographically validated that binds to a highly conserved surface of the RBD of wild-type SARS-CoV-2. Subsequently, through experimental affinity enhancement and computational affinity maturation, it was further developed to bind the RBD of all concerning SARS-CoV-2 variants, SARS-CoV-1 and pangolin coronavirus with pico-molar binding affinities, consistently exhibited strong neutralization activity against wild-type SARS-CoV-2 and the Alpha and Delta variants. These results identify a vulnerable target site on coronaviruses for development of pan-sarbecovirus nAbs and vaccines.

Details

Language :
English
ISSN :
19420862 and 19420870
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
mAbs
Publication Type :
Academic Journal
Accession number :
edsdoj.767ba2fa07c141e4b6f3f69d975e3177
Document Type :
article
Full Text :
https://doi.org/10.1080/19420862.2021.2021601