A global collaboration for systematic analysis of broad-ranging antibodies against the SARS-CoV-2 spike protein

The Coronavirus Immunotherapeutic Consortium (CoVIC) conducted side-by-side comparisons of over 400 anti-SARS-CoV-2 spike therapeutic antibody candidates contributed by large and small companies as well as academic groups on multiple continents. Nine reference labs analyzed antibody features, including in vivo protection in a mouse model of infection, spike protein affinity, high-resolution epitope binning, ACE-2 binding blockage, structures, and neutralization of pseudovirus and authentic virus infection, to build a publicly accessible dataset in the database CoVIC-DB. High-throughput, high-resolution binning of CoVIC antibodies defines a broad and predictive landscape of antibody epitopes on the SARS-CoV-2 spike protein and identifies features associated with durable potency against multiple SARS-CoV-2 variants of concern and high in vivo efficacy. Results of the CoVIC studies provide a guide for selecting effective and durable antibody therapeutics and for immunogen design as well as providing a framework for rapid response to future viral disease outbreaks.

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Publication Details

Journal
Cell Reports
Published
2025-04-01
DOI
https://doi.org/10.1016/j.celrep.2025.115499
Citations
4
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
5.58
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A global collaboration for systematic analysis of broad-ranging antibodies against the SARS-CoV-2 spike protein

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SARS-CoV-2 and COVID-19 Research
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article

A global collaboration for systematic analysis of broad-ranging antibodies against the SARS-CoV-2 spike protein

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article en
4 citations

Abstract

The Coronavirus Immunotherapeutic Consortium (CoVIC) conducted side-by-side comparisons of over 400 anti-SARS-CoV-2 spike therapeutic antibody candidates contributed by large and small companies as well as academic groups on multiple continents. Nine reference labs analyzed antibody features, including in vivo protection in a mouse model of infection, spike protein affinity, high-resolution epitope binning, ACE-2 binding blockage, structures, and neutralization of pseudovirus and authentic virus infection, to build a publicly accessible dataset in the database CoVIC-DB. High-throughput, high-resolution binning of CoVIC antibodies defines a broad and predictive landscape of antibody epitopes on the SARS-CoV-2 spike protein and identifies features associated with durable potency against multiple SARS-CoV-2 variants of concern and high in vivo efficacy. Results of the CoVIC studies provide a guide for selecting effective and durable antibody therapeutics and for immunogen design as well as providing a framework for rapid response to future viral disease outbreaks.

Cell ReportsVol. 44(4)
University of North Carolina at Chapel Hill (US), Texas Biomedical Research Institute (US), La Jolla Institute for Immunology (US), University of Wisconsin–Madison (US), Texas A&M University at Galveston (US), Duke University (US), Nexen (Canada) (CA), Galveston College (US), Biotechnology Research Center (IR), Carterra (United States) (US), National Center for Global Health and Medicine (JP), Kymab (United Kingdom) (GB), Imperial College London (GB), The University of Texas Medical Branch at Galveston (US)
Partnerships for the goals
Openalex Percentile: Top 4%
SARS-CoV-2 and COVID-19 Research
5.58
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