Author: Katie M. Campbell; Gabriela Steiner; Daniel K. Wells; Antoni Ribas; Anusha Kalbasi
Title: Prediction of SARS-CoV-2 epitopes across 9360 HLA class I alleles Document date: 2020_4_1
ID: bj454swk_15
Snippet: This dataset and analysis have limitations. Our search was restricted to perfectly matched amino acid sequences, and there may be peptides associated with SARS-CoV-2 that have mismatches, compared to SARS-CoV. Our search was also limited to 9-mers, which represents most but not all reported HLA class I binding peptides. In addition, we did not further assess peptide sequences in pMHCs with affinities greater than 500nM and refined searches will b.....
Document: This dataset and analysis have limitations. Our search was restricted to perfectly matched amino acid sequences, and there may be peptides associated with SARS-CoV-2 that have mismatches, compared to SARS-CoV. Our search was also limited to 9-mers, which represents most but not all reported HLA class I binding peptides. In addition, we did not further assess peptide sequences in pMHCs with affinities greater than 500nM and refined searches will be necessary to completely assess the homology between the SARS-CoV and SARS- The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.30.016931 doi: bioRxiv preprint CoV-2 epitomes. Our data also does not account for either the quantity or timing of viral protein expression in a host cell, both of which can impact the immunogenicity of predicted epitopes (11) .
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