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TheHLA-DR4Pred is an SVM and ANN based HLA-DRB1*0401(MHC class II alleles) binding peptides prediction method. The accuracy of the SVM and ANN based methods is ~86% and ~78% respectively.The performence of the methods was tested through 5 set cross-validation. The training of SVM and ANN was done by using the freely availaible SVM_LIGHT and SNNS packages respectively. The data for training of neural network and SVM model has been extracted from MHCBN database.This method will be useful in cellular immunology, Vaccine design, immunodiagnostics, immunotherapeuatics and molecular understanding of autoimmune susceptibility.
Instructions Information References Developers  
SVM     Threshold     
ANN     Threshold     
Display Top      Peptides


Dr. G P S Raghava
Head, Department of Computational Biology
Indraprastha Institute of Information Technology
Okhla Phase 3, New Delhi, India
Phone: +91-172-690557 +91-172-690908
Fax: +91-172-690585 +91-172-690632
Email: raghava@iiitd.ac.in

If you use this webserver please cite: Bhasin M, Raghava GPS (2004).SVM based method for predicting HLA-DRB1 binding peptides in an antigen sequence. Bioinformatics 20(3): 421-3