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BMC Bioinformatics. 2009 Sep 14;10:287. doi: 10.1186/1471-2105-10-287.

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

Author information

1
Department of Cell Research and Immunology, George S Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel. rubi@post.tau.ac.il

Abstract

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.

PMID:
19751513
PMCID:
PMC2751785
DOI:
10.1186/1471-2105-10-287
[Indexed for MEDLINE]
Free PMC Article

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