@article {678,
	title = {Epitopia: a web-server for predicting B-cell epitopes.},
	journal = {BMC Bioinformatics},
	volume = {10},
	year = {2009},
	month = {2009},
	pages = {287},
	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.},
	keywords = {Algorithms, Artificial Intelligence, Computational Biology, Epitopes, B-Lymphocyte, Internet, Software},
	issn = {1471-2105},
	doi = {10.1186/1471-2105-10-287},
	author = {Rubinstein, Nimrod D and Mayrose, Itay and Martz, Eric and Pupko, Tal}
}
