title: MHCPred: A server for quantitative prediction of peptide-MHC binding.
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-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.
authors.affiliation: Edward Jenner Institute for Vaccine Research, High Street, Compton, Berkshire RG0 7NN, UK.
authors.forename: Pingping
authors.initials: P
authors.lastname: Guan
authors.forename: Irini A
authors.initials: IA
authors.lastname: Doytchinova
authors.forename: Christianna
authors.initials: C
authors.lastname: Zygouri
authors.forename: Darren R
authors.initials: DR
authors.lastname: Flower
mesh_terms: D001665:Binding Sites; D018984:Epitopes, T-Lymphocyte / Q000737:chemistry* / Q000378:metabolism*; D015234:HLA-A Antigens / Q000737:chemistry / Q000378:metabolism*; D006684:HLA-DR Antigens / Q000737:chemistry / Q000378:metabolism*; D020407:Internet; D016018:Least-Squares Analysis; D015233:Models, Statistical; D015999:Multivariate Analysis; D010455:Peptides / Q000737:chemistry / Q000378:metabolism; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D018984:Epitopes, T-Lymphocyte; D015234:HLA-A Antigens; D006684:HLA-DR Antigens; D010455:Peptides