Selected article for: "globally representative set and SARS proteome"
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_12
    Snippet: Our study was designed to evaluate the predicted MHC class I epitope landscape with respect to the SARS-CoV-2 viral proteome across a globally representative set of HLA alleles. We aimed to establish a resource for the scientific community, and have made the entirety of these data publicly available. This work expands upon recent studies that inferred the epitope landscape of SARS-CoV-2 based on its partial homology with SARS-CoV, for which there.....
    Document: Our study was designed to evaluate the predicted MHC class I epitope landscape with respect to the SARS-CoV-2 viral proteome across a globally representative set of HLA alleles. We aimed to establish a resource for the scientific community, and have made the entirety of these data publicly available. This work expands upon recent studies that inferred the epitope landscape of SARS-CoV-2 based on its partial homology with SARS-CoV, for which there is an existing annotated epitope landscape(9, 10).

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