EpiTOP-a proteochemometric tool for MHC class II binding prediction

被引：51

作者：

Dimitrov, Ivan ^{[1
]}

Garnev, Panayot ^{[1
]}

Flower, Darren R. ^{[2
]}

Doytchinova, Irini ^{[1
]}

机构：

[1] Med Univ Sofia, Fac Pharm, Sofia 1000, Bulgaria

[2] Aston Univ, Birmingham B4 7ET, W Midlands, England

来源：

BIOINFORMATICS | 2010年 / 26卷 / 16期

基金：

英国惠康基金;

关键词：

PEPTIDE BINDING; GENERATION; ALGORITHM;

D O I：

10.1093/bioinformatics/btq324

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation: T-cell epitope identification is a critical immuno-informatic problem within vaccine design. To be an epitope, a peptide must bind an MHC protein. Results: Here, we present EpiTOP, the first server predicting MHC class II binding based on proteochemometrics, a QSAR approach for ligands binding to several related proteins. EpiTOP uses a quantitative matrix to predict binding to 12 HLA-DRB1 alleles. It identifies 89% of known epitopes within the top 20% of predicted binders, reducing laboratory labour, materials and time by 80%. EpiTOP is easy to use, gives comprehensive quantitative predictions and will be expanded and updated with new quantitative matrices over time.

引用

页码：2066 / 2068

页数：3

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