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Bioinformatics. 2004 Feb 12;20(3):421-3. Epub 2004 Jan 22.

SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence.

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1
Institute of Microbial Technology, Sector 39A, Chandigarh, India.

Abstract

Prediction of peptides binding with MHC class II allele HLA-DRB1(*)0401 can effectively reduce the number of experiments required for identifying helper T cell epitopes. This paper describes support vector machine (SVM) based method developed for identifying HLA-DRB1(*)0401 binding peptides in an antigenic sequence. SVM was trained and tested on large and clean data set consisting of 567 binders and equal number of non-binders. The accuracy of the method was 86% when evaluated through 5-fold cross-validation technique.

PMID:
14960470
DOI:
10.1093/bioinformatics/btg424
[Indexed for MEDLINE]
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