In silico detection of SARS-CoV-2 specific B-cell epitopes and validation in ELISA for serological diagnosis of COVID-19

Abstract Rapid generation of diagnostics is paramount to understand epidemiology and to control the spread of emerging infectious diseases such as COVID-19. Computational methods to predict serodiagnostic epitopes that are specific for the pathogen could help accelerate the development of new diagno...

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Auteurs principaux:	Isabelle Q. Phan, Sandhya Subramanian, David Kim, Michael Murphy, Deleah Pettie, Lauren Carter, Ivan Anishchenko, Lynn K. Barrett, Justin Craig, Logan Tillery, Roger Shek, Whitney E. Harrington, David M. Koelle, Anna Wald, David Veesler, Neil King, Jim Boonyaratanakornkit, Nina Isoherranen, Alexander L. Greninger, Keith R. Jerome, Helen Chu, Bart Staker, Lance Stewart, Peter J. Myler, Wesley C. Van Voorhis
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2021
Sujets:	Medicine R Science Q
Accès en ligne:	https://doaj.org/article/3d810cad4f2b46a1aaf7b89ba641e8bb
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In silico detection of SARS-CoV-2 specific B-cell epitopes and validation in ELISA for serological diagnosis of COVID-19

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