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

@article{rubinstein09, abstract = {BACKGROUND:Detecting candidate 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 a higher predictive power. A special emphasis was put on the development of a user-friendly graphical interface for displaying the results. CONCLUSIONS: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.}, author = {Rubinstein, Nimrod and Mayrose, Itay and Martz, Eric and Pupko, Tal}, citeulike-article-id = {5789267}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/1471-2105-10-287}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19751513}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19751513}, day = {14}, doi = {10.1186/1471-2105-10-287}, issn = {1471-2105}, journal = {BMC Bioinformatics}, keywords = {b\_cell, cell\_epitopes, computational\_tool, epitope, epitope\_prediction, immunogenicity, immunoinformatics, prediction\_tools, protein\_sequence, protein\_structure, structure, structure-prediction, web\_server}, month = {September}, number = {1}, pages = {287+}, posted-at = {2009-09-16 12:08:27}, priority = {4}, title = {Epitopia: a web-server for predicting B-cell epitopes}, url = {http://dx.doi.org/10.1186/1471-2105-10-287}, volume = {10}, year = {2009} }

TY - JOUR ID - rubinstein09 L3 - citeulike-article-id:5789267 N2 - BACKGROUND:Detecting candidate 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 a higher predictive power. A special emphasis was put on the development of a user-friendly graphical interface for displaying the results. CONCLUSIONS: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. IS - 1 JF - BMC Bioinformatics SN - 1471-2105 TI - Epitopia: a web-server for predicting B-cell epitopes VL - 10 SP - 287 KW - b_cell KW - cell_epitopes KW - computational_tool KW - epitope KW - epitope_prediction KW - immunogenicity KW - immunoinformatics KW - prediction_tools KW - protein_sequence KW - protein_structure KW - structure KW - structure-prediction KW - web_server AU - Rubinstein, Nimrod AU - Mayrose, Itay AU - Martz, Eric AU - Pupko, Tal PY - 2009/09/14/ UR - http://dx.doi.org/10.1186/1471-2105-10-287 ER -