| Literature DB >> 31611696 |
Julien Racle1,2, Justine Michaux1,3, Georg Alexander Rockinger1, Marion Arnaud1,3, Sara Bobisse1,3, Chloe Chong1,3, Philippe Guillaume1,3, George Coukos1,3, Alexandre Harari1,3, Camilla Jandus1, Michal Bassani-Sternberg4,5, David Gfeller6,7.
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.Entities:
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Year: 2019 PMID: 31611696 DOI: 10.1038/s41587-019-0289-6
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 54.908