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_36
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.06.027805 doi: bioRxiv preprint 30 and the associated USA, European (EUR), and Asian Pacific Islander (API) population coverage. 1 Note that it is not the case that any of these 25mers, or their binding subsequences, are found as 2 subsequences within the human proteome. The peptide-HLA alleles pairs from the ViPR database which belong to.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.06.027805 doi: bioRxiv preprint 30 and the associated USA, European (EUR), and Asian Pacific Islander (API) population coverage. 1 Note that it is not the case that any of these 25mers, or their binding subsequences, are found as 2 subsequences within the human proteome. The peptide-HLA alleles pairs from the ViPR database which belong to the Coronaviridae 7 family and have a human host had been scored using RECON's HLA-I binding predictor. Alleles 8 not reported in a four-digit format or not supported by RECON were excluded.
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