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. 2020 Dec 16;11:565730. doi: 10.3389/fimmu.2020.565730

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Copyright © 2020 Pretti, Galvani, Vieira, Bonomo, Bonamino and Boroni

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Number of unique Strong Binder peptides for the 73 analyzed HLA-B alleles. (A) Global view of the predicted binding spectra for HLA-A considering the entire SARS-CoV-2 genome or (B) depicted by ORF1ab, Envelope (E), Membrane (M), Nucleocapsid (N), or Spike (S) proteins. Strong Binder peptides were selected using a %Rank cut-off of 0.5%, which is based on the likelihood of this peptide being presented when compared to a pool of natural ligands. HLA binding predictions performed by netMHCpan were crossed with TAP and proteasome predictions performed by netCTLpan in order to get a more reliable set of peptides. Importantly, the same peptide can be predicted to be presented by more than one HLA.