CoV-AbDab: the coronavirus antibody database

Author:

Raybould Matthew I J1ORCID,Kovaltsuk Aleksandr1,Marks Claire1,Deane Charlotte M1ORCID

Affiliation:

1. Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, UK

Abstract

Abstract Motivation The emergence of a novel strain of betacoronavirus, SARS-CoV-2, has led to a pandemic that has been associated with over 700 000 deaths as of August 5, 2020. Research is ongoing around the world to create vaccines and therapies to minimize rates of disease spread and mortality. Crucial to these efforts are molecular characterizations of neutralizing antibodies to SARS-CoV-2. Such antibodies would be valuable for measuring vaccine efficacy, diagnosing exposure and developing effective biotherapeutics. Here, we describe our new database, CoV-AbDab, which already contains data on over 1400 published/patented antibodies and nanobodies known to bind to at least one betacoronavirus. This database is the first consolidation of antibodies known to bind SARS-CoV-2 as well as other betacoronaviruses such as SARS-CoV-1 and MERS-CoV. It contains relevant metadata including evidence of cross-neutralization, antibody/nanobody origin, full variable domain sequence (where available) and germline assignments, epitope region, links to relevant PDB entries, homology models and source literature. Results On August 5, 2020, CoV-AbDab referenced sequence information on 1402 anti-coronavirus antibodies and nanobodies, spanning 66 papers and 21 patents. Of these, 1131 bind to SARS-CoV-2. Availabilityand implementation CoV-AbDab is free to access and download without registration at http://opig.stats.ox.ac.uk/webapps/coronavirus. Community submissions are encouraged. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Engineering and Physical Sciences Research Council

Medical Research Council

Biotechnology and Biological Sciences Research Council

GlaxoSmithKline plc

UCB Pharma Ltd.

AstraZeneca plc

F. Hoffmann-La Roche AG

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference16 articles.

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2. ANARCI: antigen receptor numbering and receptor classification;Dunbar;Bioinformatics,2016

3. SAbDab: the structural antibody database;Dunbar;Nucleic Acids Res,2014

4. Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail;Hansen;Science,2020

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