Epitopia: a web-server for predicting B-cell epitopes

被引：154

作者：

Rubinstein, Nimrod D. ^{[1
]}

Mayrose, Itay ^{[2
]}

Martz, Eric ^{[3
]}

Pupko, Tal ^{[1
]}

机构：

[1] Tel Aviv Univ, Dept Cell Res & Immunol, George S Wise Fac Life Sci, IL-69978 Tel Aviv, Israel

[2] Univ British Columbia, Dept Zool, Vancouver, BC V6T 1Z4, Canada

[3] Univ Massachusetts, Dept Microbiol, Amherst, MA 01003 USA

来源：

BMC BIOINFORMATICS | 2009年 / 10卷

关键词：

PROTEIN; ANTIBODY; FRAGMENT;

D O I：

10.1186/1471-2105-10-287

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Background: Detecting candidate B-cell epitopes in a protein is a basic and fundamental step in many immunological applications. Due to the impracticality of experimental approaches to systematically scan the entire protein, a computational tool that predicts the most probable epitope regions is desirable. Results: The Epitopia server is a web-based tool that aims to predict immunogenic regions in either a protein three-dimensional structure or a linear sequence. Epitopia implements a machine-learning algorithm that was trained to discern antigenic features within a given protein. The Epitopia algorithm has been compared to other available epitope prediction tools and was found to have higher predictive power. A special emphasis was put on the development of a user-friendly graphical interface for displaying the results. Conclusion: Epitopia is a user-friendly web-server that predicts immunogenic regions for both a protein structure and a protein sequence. Its accuracy and functionality make it a highly useful tool. Epitopia is available at http://epitopia.tau.ac.il and includes extensive explanations and example predictions.

引用

页数：6

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