Computationally restoring the potency of a clinical antibody against SARS-CoV-2 Omicron subvariants
The COVID-19 pandemic underscored the promise of monoclonal antibody-based prophylactic and therapeutic drugs , but also revealed how quickly viral escape can curtail effective options . With the emergence of the SARS-CoV-2 Omicron variant in late 2021, many clinically used antibody drug products lo...
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Published in | bioRxiv |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article Paper |
Language | English |
Published |
United States
Cold Spring Harbor Laboratory Press
24.04.2023
Cold Spring Harbor Laboratory |
Edition | 1.2 |
Subjects | |
Online Access | Get full text |
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Summary: | The COVID-19 pandemic underscored the promise of monoclonal antibody-based prophylactic and therapeutic drugs
, but also revealed how quickly viral escape can curtail effective options
. With the emergence of the SARS-CoV-2 Omicron variant in late 2021, many clinically used antibody drug products lost potency, including Evusheld
and its constituent, cilgavimab
. Cilgavimab, like its progenitor COV2-2130, is a class 3 antibody that is compatible with other antibodies in combination
and is challenging to replace with existing approaches. Rapidly modifying such high-value antibodies with a known clinical profile to restore efficacy against emerging variants is a compelling mitigation strategy. We sought to redesign COV2-2130 to rescue in vivo efficacy against Omicron BA.1 and BA.1.1 strains while maintaining efficacy against the contemporaneously dominant Delta variant. Here we show that our computationally redesigned antibody, 2130-1-0114-112, achieves this objective, simultaneously increases neutralization potency against Delta and many variants of concern that subsequently emerged, and provides protection
against the strains tested, WA1/2020, BA.1.1, and BA.5. Deep mutational scanning of tens of thousands pseudovirus variants reveals 2130-1-0114-112 improves broad potency without incurring additional escape liabilities. Our results suggest that computational approaches can optimize an antibody to target multiple escape variants, while simultaneously enriching potency. Because our approach is computationally driven, not requiring experimental iterations or pre-existing binding data, it could enable rapid response strategies to address escape variants or pre-emptively mitigate escape vulnerabilities. |
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Bibliography: | SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 Competing Interest Statement: M.S.D. is a consultant for Inbios, Vir Biotechnology, Ocugen, Moderna and Immunome. The Diamond laboratory has received unrelated funding support in sponsored research agreements from Moderna, Vir Biotechnology, and Emergent BioSolutions. J.E.C. has served as a consultant for Luna Labs USA, Merck Sharp & Dohme Corporation, Emergent Biosolutions, and GlaxoSmithKline, is a member of the Scientific Advisory Board of Meissa Vaccines, a former member of the Scientific Advisory Board of Gigagen (Grifols) and is founder of IDBiologics. The laboratory of J.E.C. received unrelated sponsored research agreements from AstraZeneca, Takeda, and IDBiologics during the conduct of the study. J. D. B. is on the scientific advisory boards of Apriori Bio, Aerium Therapuetics, Invivyd, and the Vaccine Company. Lawrence Livermore National Laboratory, Los Alamos National Laboratory, and Vanderbilt University have applied for patents for some of the antibodies in this paper, for which T.A.D, K.T.A, A.T.Z., E.Y.L., F.Z., A.M.L., R.H.C., J.E.C., and D.M.F. are inventors. Vanderbilt University has licensed certain rights to antibodies in this paper to Astra Zeneca. J. D. B. and B.D. are inventors on Fred Hutch licensed patents related to the deep mutational scanning of viral proteins. |
ISSN: | 2692-8205 2692-8205 |
DOI: | 10.1101/2022.10.21.513237 |