Robust prediction of HLA class II epitopes by deep motif deconvolution of immunopeptidomes.
basic_science · Level V
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- Record sourced from PubMed, PMID 31611696.
- Also identified by DOI 10.1038/s41587-019-0289-6.
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Abstract
Predictions of epitopes presented by class II human leukocyte antigen molecules (HLA-II) have limited accuracy, restricting vaccine and therapy design. Here we combined unbiased mass spectrometry with a motif deconvolution algorithm to profile and analyze a total of 99,265 unique peptides eluted from HLA-II molecules. We then trained an epitope prediction algorithm with these data and improved prediction of pathogen and tumor-associated class II neoepitopes.
Medical subject headings
- Epitopes
- Histocompatibility Antigens Class II
- Peptides