Selected article for: "international license and population level"
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_8
    Snippet: We were additionally interested in the diversity and number of the HLA alleles that could bind each predicted SARS-CoV-2 peptide. HLA alleles were annotated by their gene and structural superfamily (Supplementary Table 4)(7). In addition, we specifically highlighted the HLA-A*02 allele group, due to the prevalence of this allele . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this prepr.....
    Document: We were additionally interested in the diversity and number of the HLA alleles that could bind each predicted SARS-CoV-2 peptide. HLA alleles were annotated by their gene and structural superfamily (Supplementary Table 4)(7). In addition, we specifically highlighted the HLA-A*02 allele group, due to the prevalence of this allele . CC-BY-NC-ND 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the .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 in the population and its level of study in model systems. There were more peptides with predicted high binding affinities for HLA-A (n=438 unique peptides) and -B (n=552) alleles, compared to -C (n=243) (Supplementary Figure 2 ). However, overall, a diverse set of HLA alleles are predicted to bind antigens spanning the viral proteome ( Figure 2) . Notably, our predicted peptides with high-affinity binding were all included in the homologous sequences between SARS-CoV and SARS-CoV-2.

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