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

Bhasin, Manoj and Raghava, G.P.S. (2004) SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence. Bioinformatics (Oxford, England), 20 (3). pp. 421-3. ISSN 1367-4803

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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.

Item Type:	Article
Additional Information:	Copyright of this article belongs to OUP.
Subjects:	Q Science > QR Microbiology
Depositing User:	Dr. K.P.S.Sengar
Date Deposited:	06 Jan 2012 14:55
Last Modified:	06 Jan 2012 14:55
URI:	http://crdd.osdd.net/open/id/eprint/223

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