Defining HLA-II ligand processing and binding rules with mass spectrometry enhances cancer epitope prediction

نویسندگان

چکیده

(Immunity 51, 766–779.e1–e17; October 15, 2019) The proteomics data deposition for this study (located at ftp://massive.ucsd.edu/MSV000083991) has been corrected to include all MAPTAC-profiled alleles. complete dataset (including previously uploaded files) is now located under "updates/2020-10-05_JAbelin_e5cb28f1/.” An associated "README" file (at other/README_RawAndSearchFileLocation.txt) details the locations of file-to-sample mapping file, raw spectra files, and peptide search result files. In addition, software also source code (now available https://bitbucket.org/dharjanto-neon/neonmhc2) that was used train online predictor (neonmhc2.org). authors apologize inconvenience caused. Defining HLA-II Ligand Processing Binding Rules with Mass Spectrometry Enhances Cancer Epitope PredictionAbelin et al.ImmunitySeptember 5, 2019In BriefDespite their role in directing T cell responses, epitopes remain difficult predict, hindering therapeutic potential. Abelin al. develop proteomic strategies resolve diverse motifs pinpoint tumor are presented by professional APCs. These enable improved epitope prediction targeting. Full-Text PDF Open Archive

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ژورنال

عنوان ژورنال: Immunity

سال: 2021

ISSN: ['1097-4180', '1074-7613']

DOI: https://doi.org/10.1016/j.immuni.2020.12.005