Immunoinformatic identification of B cell and T cell epitopes in the SARS-CoV-2 proteome.
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ABSTRACT: A novel coronavirus (SARS-CoV-2) emerged from China in late 2019 and rapidly spread across the globe, infecting millions of people and generating societal disruption on a level not seen since the 1918 influenza pandemic. A safe and effective vaccine is desperately needed to prevent the continued spread of SARS-CoV-2; yet, rational vaccine design efforts are currently hampered by the lack of knowledge regarding viral epitopes targeted during an immune response, and the need for more in-depth knowledge on betacoronavirus immunology. To that end, we developed a computational workflow using a series of open-source algorithms and webtools to analyze the proteome of SARS-CoV-2 and identify putative T cell and B cell epitopes. Utilizing a set of stringent selection criteria to filter peptide epit
SUBMITTER: Crooke SN
PROVIDER: S-EPMC7447814 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
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