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?:abstract
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Elucidating antiviral CD8 T lymphocyte responses to SARS-CoV-2 may shed light on the heterogeneity of clinical outcomes and inform vaccine or therapeutic approaches. To facilitate the evaluation of antiviral CD8 T cell responses to SARS-CoV-2, we generated a publicly accessible database of epitopes predicted to bind any class I HLA protein across the entire SARS-CoV-2 proteome. While a subset of epitopes from earlier betacoronaviruses, such as SARS-CoV (SARS), have been validated experimentally, validation systems are often biased toward specific HLA haplotypes (notably HLA-A*02:01) that only account for a fraction of the haplotypes of individuals affected by the SARS-CoV-2 pandemic. To enable evaluation of epitopes across individuals with a variety of HLA haplotypes, we computed the predicted binding affinities between 9-mer peptides derived from the annotated SARS-CoV-2 peptidome across 9,360 MHC class I HLA-A, -B, and -C alleles. There were 6,748 unique combinations of peptides and HLA alleles (pMHCs) with a predicted binding affinity of less than 500nM, including 1,103 unique peptides and 1,022 HLA alleles, spanning 11 annotated superfamilies. These peptides were derived from all 11 proteins spanning the SARS-CoV-2 peptidome, including peptides that have previously been validated experimentally. We also show evidence that these previously validated epitopes may be relevant in other HLA contexts. This complete dataset is available publicly: gs://pici-covid19-data-resources/mhci/peptide_predictions.
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?:doi
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10.1101/2020.03.30.016931
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?:doi
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?:license
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?:pdf_json_files
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document_parses/pdf_json/77e740350e386baac37804efbe7bbaabcd0bb90f.json; document_parses/pdf_json/cabe4ebafa262c1d554491e812641c6e8a7d7d66.json
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document_parses/pmc_json/PMC7239055.xml.json
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?:pmid
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?:publication_isRelatedTo_Disease
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?:source
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BioRxiv; Medline; PMC; WHO
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?:title
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Prediction of SARS-CoV-2 epitopes across 9360 HLA class I alleles
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