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Article

USMPep: universal sequence models for major histocompatibility complex binding affinity prediction.

BMC bioinformatics - 2 Jul 2020

Vielhaben Johanna, Wenzel Markus, Samek Wojciech, Strodthoff Nils

Abstract excerpt

BACKGROUND: Immunotherapy is a promising route towards personalized cancer treatment. A key algorithmic challenge in this process is to decide if a given peptide (neoepitope) binds with the major histocompatibility complex (MHC). This is an active area of research and there are many MHC binding prediction algorithms that can predict the MHC binding affinity for a given peptide to a high degree of accuracy....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32615972
DOI: 10.1186/s12859-020-03631-1
PMCID: PMC7330990

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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