Author: Asaf Poran; Dewi Harjanto; Matthew Malloy; Michael S. Rooney; Lakshmi Srinivasan; Richard B. Gaynor
Title: Sequence-based prediction of vaccine targets for inducing T cell responses to SARS-CoV-2 utilizing the bioinformatics predictor RECON Document date: 2020_4_8
ID: 54mx8v4i_14
Snippet: Validating RECON prediction for viral epitopes using ViPR 13 We first sought to validate the ability of our predictors to identify epitopes from genomes of the 14 Coronaviridae family. Since SARS-CoV-2 only emerged recently, specific data on SARS-CoV-2 15 peptide MHC-binding and immunogenic epitopes are currently limited. However, other viruses 16 from the Coronaviridae family have been studied thoroughly, specifically MERS-CoV and SARS-.....
Document: Validating RECON prediction for viral epitopes using ViPR 13 We first sought to validate the ability of our predictors to identify epitopes from genomes of the 14 Coronaviridae family. Since SARS-CoV-2 only emerged recently, specific data on SARS-CoV-2 15 peptide MHC-binding and immunogenic epitopes are currently limited. However, other viruses 16 from the Coronaviridae family have been studied thoroughly, specifically MERS-CoV and SARS-
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