MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.
MULTIPRED is a web-based computational system for the prediction of peptide binding to multiple molecules (proteins) belonging to human leukocyte antigens (HLA) class I A2, A3 and class II DR supertypes. It uses hidden Markov models and artificial neural network methods as predictive engines. A novel data representation method enables MULTIPRED to predict peptides that promiscuously bind multiple HLA alleles within one HLA supertype. Extensive testing was performed for validation of the prediction models. Testing results show that MULTIPRED is both sensitive and specific and it has good predictive ability (area under the receiver operating characteristic curve A(ROC) > 0.80). MULTIPRED can be used for the mapping of promiscuous T-cell epitopes as well as the regions of high concentration of these targets--termed T-cell epitope hotspots. MULTIPRED is available at http://antigen.i2r.a-star.edu.sg/multipred/.
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613.
Guang Lan
GL
Zhang
Asif M
AM
Khan
Kellathur N
KN
Srinivasan
J Thomas
JT
August
Vladimir
V
Brusic
D019295:Computational Biology / Q000379:methods*; D018984:Epitopes, T-Lymphocyte / Q000737:chemistry* / Q000276:immunology / Q000378:metabolism; D015234:HLA-A Antigens / Q000378:metabolism*; D006684:HLA-DR Antigens / Q000378:metabolism*; D006801:Humans; D020407:Internet; D008390:Markov Chains; D016571:Neural Networks, Computer; D010455:Peptides / Q000737:chemistry* / Q000276:immunology* / Q000378:metabolism; D012984:Software; D014584:User-Computer Interface
D018984:Epitopes, T-Lymphocyte; D015234:HLA-A Antigens; D006684:HLA-DR Antigens; D010455:Peptides