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 |
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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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