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Molecular determinants and mechanism for antibody cocktail preventing SARS-CoV-2 escape

Authors: Ku, Zhiqiang; Xie, Xuping; Davidson, Edgar; Ye, Xiaohua; Su, Hang; Menachery, Vineet D.; Li, Yize; +14 Authors

Molecular determinants and mechanism for antibody cocktail preventing SARS-CoV-2 escape

Abstract

AbstractAntibody cocktails represent a promising approach to prevent SARS-CoV-2 escape. The determinants for selecting antibody combinations and the mechanism that antibody cocktails prevent viral escape remain unclear. We compared the critical residues in the receptor-binding domain (RBD) used by multiple neutralizing antibodies and cocktails and identified a combination of two antibodies CoV2-06 and CoV2-14 for preventing viral escape. The two antibodies simultaneously bind to non-overlapping epitopes and independently compete for receptor binding. SARS-CoV-2 rapidly escapes from individual antibodies by generating resistant mutations in vitro, but it doesn’t escape from the cocktail due to stronger mutational constraints on RBD-ACE2 interaction and RBD protein folding requirements. We also identified a conserved neutralizing epitope shared between SARS-CoV-2 and SARS-CoV for antibody CoV2-12. Treatments with CoV2-06 and CoV2-14 individually and in combination confer protection in mice. These findings provide insights for rational selection and mechanistic understanding of antibody cocktails as candidates for treating COVID-19.

Keywords

Models, Molecular, Science, General Physics and Astronomy, Antibodies, Viral, General Biochemistry, Genetics and Molecular Biology, Article, Mice, Chlorocebus aethiops, Animals, Humans, Immunoglobulin Fragments, Vero Cells, Mice, Inbred BALB C, SARS-CoV-2, Q, Antibodies, Monoclonal, COVID-19, General Chemistry, Antibodies, Neutralizing, Disease Models, Animal, Immunoglobulin G, Mutation, Spike Glycoprotein, Coronavirus, Female, Angiotensin-Converting Enzyme 2, Protein Binding

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    149
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
149
Top 0.1%
Top 1%
Top 0.1%
Green
gold