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Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods
Author(s) -
Hao Zhang,
Claus Lundegaard,
Morten Nielsen
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn579
Subject(s) - human leukocyte antigen , major histocompatibility complex , computational biology , mhc class i , epitope , biology , computer science , genetics , antigen
MHC:peptide binding plays a central role in activating the immune surveillance. Computational approaches to determine T-cell epitopes restricted to any given major histocompatibility complex (MHC) molecule are of special practical value in the development of for instance vaccines with broad population coverage against emerging pathogens. Methods have recently been published that are able to predict peptide binding to any human MHC class I molecule. In contrast to conventional allele-specific methods, these methods do allow for extrapolation to uncharacterized MHC molecules. These pan-specific human lymphocyte antigen (HLA) predictors have not previously been compared using independent evaluation sets.

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