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Article

Improving MHC binding peptide prediction by incorporating binding data of auxiliary MHC molecules.

Bioinformatics (Oxford, England) - 1 Jul 2006

Zhu Shanfeng, Udaka Keiko, Sidney John, Sette Alessandro, Aoki-Kinoshita Kiyoko F, Mamitsuka Hiroshi

Abstract excerpt

MOTIVATION: Various computational methods have been proposed to tackle the problem of predicting the peptide binding ability for a specific MHC molecule. These methods are based on known binding peptide sequences. However, current available peptide databases do not have very abundant amounts of examples and are highly redundant. Existing studies show that MHC molecules can be classified into supertypes in terms...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 16613909
DOI: 10.1093/bioinformatics/btl141

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