Quantitative online prediction of peptide binding to the major histocompatibility complex.
With its implications for vaccine discovery, the accurate prediction of T cell epitopes is one of the key aspirations of computational vaccinology. We have developed a robust multivariate statistical method, based on partial least squares, for the quantitative prediction of peptide binding to major histocompatibility complexes (MHC), the principal checkpoint on the antigen presentation pathway. As a service to the immunobiology community, we have made a Perl implementation of the method available via a World Wide Web server. We call this server MHCPred. Access to the server is freely available from the URL: http://www.jenner.ac.uk/MHCPred. We have exemplified our method with a model for peptides binding to the common human MHC molecule HLA-B*3501.
Hattotuwagama
Channa K
CK
Edward Jenner Institute for Vaccine Research, Compton, Berkshire RG20 7NN, UK.
Guan
Pingping
P
Doytchinova
Irini A
IA
Zygouri
Christianna
C
Flower
Darren R
DR
D017951:Antigen Presentation; D001665:Binding Sites; D030562:Databases, Protein; D018984:Epitopes, T-Lymphocyte / Q000276:immunology / Q000378:metabolism; D005544:Forecasting; D015235:HLA-B Antigens / Q000276:immunology / Q000378:metabolism*; D006801:Humans; D020407:Internet; D008285:Major Histocompatibility Complex; D015233:Models, Statistical; D015999:Multivariate Analysis; D010455:Peptides / Q000737:chemistry / Q000276:immunology / Q000378:metabolism*; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship; D012984:Software; D014584:User-Computer Interface
D018984:Epitopes, T-Lymphocyte; D015235:HLA-B Antigens; D010455:Peptides