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

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ID: 100983
2009
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Abstract
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.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.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.
Reference Key
rubinstein2009epitopiabmc Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rubinstein, Nimrod D;Mayrose, Itay;Martz, Eric;Pupko, Tal;
Journal BMC Bioinformatics
Year 2009
DOI
10.1186/1471-2105-10-287
URL
Keywords
Monoclonal antibody cdr grafting antibody humanization antibody variable domain orientation

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