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Nucleic Acids Research, 2003, Vol. 31, No. 13 3621-3624
© 2003 Oxford University Press

MHCPred: a server for quantitative prediction of peptide–MHC binding

Pingping Guan, Irini A. Doytchinova, Christianna Zygouri and Darren R. Flower*

Edward Jenner Institute for Vaccine Research, High Street, Compton, Berkshire RG0 7NN, UK

*To whom correspondence should be addressed. Tel: +44 1635577954; Fax: +44 1635577901; Email: darren.flower{at}jenner.ac.uk

Accurate T-cell epitope prediction is a principal objective of computational vaccinology. As a service to the immunology and vaccinology communities at large, we have implemented, as a server on the World Wide Web, a partial least squares-based multivariate statistical approach to the quantitative prediction of peptide binding to major histocom- patibility complexes (MHC), the key checkpoint on the antigen presentation pathway within adaptive cellular immunity. MHCPred implements robust statistical models for both Class I alleles (HLA-A*0101, HLA-A*0201, HLA-A*0202, HLA-A*0203, HLA-A*0206, HLA-A*0301, HLA-A*1101, HLA-A*3301, HLA-A*6801, HLA-A*6802 and HLA-B*3501) and Class II alleles (HLA-DRB*0401, HLA-DRB*0401 and HLA-DRB*0701). MHCPred is available from the URL: http://www.jenner.ac.uk/MHCPred.


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