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

Guan, Pingping, Doytchinova, Irini A., Zygouri, Christianna and Flower, Darren R. (2003). MHCPred : a server for quantitative prediction of peptide-MHC binding. Nucleic Acids Research, 31 (13), pp. 3621-3624.

Abstract

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-base 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*0401and HLA-DRB* 0701).

Publication DOI: https://doi.org/10.1093/nar/gkg510
Divisions: Life & Health Sciences > Pharmacy
Life & Health Sciences
Life & Health Sciences > Applied Health Research Group
Life & Health Sciences > Health Sciences
Published Date: 2003-07
Authors: Guan, Pingping
Doytchinova, Irini A.
Zygouri, Christianna
Flower, Darren R. ( 0000-0002-8542-7067)

Download

Item under embargo

Export / Share Citation


Statistics

Additional statistics for this record