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_34
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the .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 peptides predicted to bind many alleles and to propose a small set of peptides that are predicted 1 cover over 99.9% of USA, European, and Asian populations and induce broad CD8 + and CD4 + 2 immunity. The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the .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 peptides predicted to bind many alleles and to propose a small set of peptides that are predicted 1 cover over 99.9% of USA, European, and Asian populations and induce broad CD8 + and CD4 + 2 immunity. The copyright holder for this preprint (which was not peer-reviewed) is the .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 List of the 83 alleles covered by the HLA-II binding predictor. peptide sequence, the SARS-CoV-2 protein(s) it is derived from, the HLA-I alleles it is predicted 18 to bind to, the corresponding USA, European (EUR), and Asian Pacific Islander (API) 19 author/funder. All rights reserved. No reuse allowed without permission.
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