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_16
Snippet: CoV. The latter has significant sequence homology to SARS-CoV-2 (35). We therefore sought to 18 leverage previously tested epitopes from across the Coronaviridae family to validate our 19 predictions of viral peptides, with special interest in peptide sequences that incidentally overlapped 20 the novel SARS-CoV-2 virus. To that end, we used the publicly available ViPR database, which 21 lists the results of T cell immunogenicity and MHC peptide-b.....
Document: CoV. The latter has significant sequence homology to SARS-CoV-2 (35). We therefore sought to 18 leverage previously tested epitopes from across the Coronaviridae family to validate our 19 predictions of viral peptides, with special interest in peptide sequences that incidentally overlapped 20 the novel SARS-CoV-2 virus. To that end, we used the publicly available ViPR database, which 21 lists the results of T cell immunogenicity and MHC peptide-binding assays for both HLA-I and 22 author/funder. All rights reserved. No reuse allowed without permission.
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