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Epitopia: a web-server for predicting B-cell epitopes
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 des...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751785/ https://www.ncbi.nlm.nih.gov/pubmed/19751513 http://dx.doi.org/10.1186/1471-2105-10-287 |
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author | Rubinstein, Nimrod D Mayrose, Itay Martz, Eric Pupko, Tal |
author_facet | Rubinstein, Nimrod D Mayrose, Itay Martz, Eric Pupko, Tal |
author_sort | Rubinstein, Nimrod D |
collection | PubMed |
description | 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 and includes extensive explanations and example predictions. |
format | Text |
id | pubmed-2751785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27517852009-09-25 Epitopia: a web-server for predicting B-cell epitopes Rubinstein, Nimrod D Mayrose, Itay Martz, Eric Pupko, Tal BMC Bioinformatics Software 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 and includes extensive explanations and example predictions. BioMed Central 2009-09-14 /pmc/articles/PMC2751785/ /pubmed/19751513 http://dx.doi.org/10.1186/1471-2105-10-287 Text en Copyright © 2009 Rubinstein et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Rubinstein, Nimrod D Mayrose, Itay Martz, Eric Pupko, Tal Epitopia: a web-server for predicting B-cell epitopes |
title | Epitopia: a web-server for predicting B-cell epitopes |
title_full | Epitopia: a web-server for predicting B-cell epitopes |
title_fullStr | Epitopia: a web-server for predicting B-cell epitopes |
title_full_unstemmed | Epitopia: a web-server for predicting B-cell epitopes |
title_short | Epitopia: a web-server for predicting B-cell epitopes |
title_sort | epitopia: a web-server for predicting b-cell epitopes |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751785/ https://www.ncbi.nlm.nih.gov/pubmed/19751513 http://dx.doi.org/10.1186/1471-2105-10-287 |
work_keys_str_mv | AT rubinsteinnimrodd epitopiaawebserverforpredictingbcellepitopes AT mayroseitay epitopiaawebserverforpredictingbcellepitopes AT martzeric epitopiaawebserverforpredictingbcellepitopes AT pupkotal epitopiaawebserverforpredictingbcellepitopes |