TY  - JOUR
N1  - Copyright of this article belongs to OUP.
ID  - open223
UR  - http://bioinformatics.oxfordjournals.org/content/20/3/421.long
IS  - 3
A1  - Bhasin, Manoj
A1  - Raghava, G.P.S.
Y1  - 2004/02/12/
N2  - 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.
PB  - Oxford University Press
JF  - Bioinformatics (Oxford, England)
VL  - 20
SN  - 1367-4803
TI  - SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence.
SP  - 421
AV  - restricted
EP  - 3
ER  -