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Article

RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles.

Cell systems - 17 Feb 2021

Bravi Barbara, Tubiana Jérôme, Cocco Simona, Monasson Rémi, Mora Thierry, Walczak Aleksandra M

Abstract excerpt

The recent increase of immunopeptidomics data, obtained by mass spectrometry or binding assays, opens up possibilities for investigating endogenous antigen presentation by the highly polymorphic human leukocyte antigen class I (HLA-I) protein. State-of-the-art methods predict with high accuracy presentation by HLA alleles that are well represented in databases at the time of release but have a poorer performance...

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Share to Antigen Presentation
Share to Databases, Protein

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Epitopes

Share to Histocompatibility Antigens Class I

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Identifiers

PMID: 33338400
DOI: 10.1016/j.cels.2020.11.005
PMCID: PMC7895905

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

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