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Article

PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions.

BMC bioinformatics - 20 Mar 2006

Hertz Tomer, Yanover Chen

Abstract excerpt

BACKGROUND: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples are MHC-peptide complexes in the immune system. Developing computational methods for protein-peptide binding prediction is therefore an important task with applications to vaccine and drug design. METHODS: Previous learning approaches...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 16723006
DOI: 10.1186/1471-2105-7-S1-S3
PMCID: PMC1810314

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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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