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

被引:209
作者
Guan, PP [1 ]
Doytchinova, IA [1 ]
Zygouri, C [1 ]
Flower, DR [1 ]
机构
[1] Edward Jenner Inst Vaccine Res, Compton RG0 7NN, Berks, England
关键词
D O I
10.1093/nar/gkg510
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:3621 / 3624
页数:4
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