Journal
NATURE BIOTECHNOLOGY
Volume 37, Issue 11, Pages 1283-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41587-019-0289-6
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Funding
- Swiss Cancer League [KFS-4104-02-2017]
- Ludwig Institute for Cancer Research
- MEDIC foundation
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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.
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