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Epitopemap: a web application for integrated whole proteome epitope prediction

BACKGROUND: Predictions of MHC binding affinity are commonly used in immunoinformatics for T cell epitope prediction. There are multiple available methods, some of which provide web access. However there is currently no convenient way to access the results from multiple methods at the same time or t...

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Detalles Bibliográficos
Autores principales: Farrell, Damien, Gordon, Stephen V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501286/
https://www.ncbi.nlm.nih.gov/pubmed/26169908
http://dx.doi.org/10.1186/s12859-015-0659-0
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author Farrell, Damien
Gordon, Stephen V
author_facet Farrell, Damien
Gordon, Stephen V
author_sort Farrell, Damien
collection PubMed
description BACKGROUND: Predictions of MHC binding affinity are commonly used in immunoinformatics for T cell epitope prediction. There are multiple available methods, some of which provide web access. However there is currently no convenient way to access the results from multiple methods at the same time or to execute predictions for an entire proteome at once. RESULTS: We designed a web application that allows integration of multiple epitope prediction methods for any number of proteins in a genome. The tool is a front-end for various freely available methods. Features include visualisation of results from multiple predictors within proteins in one plot, genome-wide analysis and estimates of epitope conservation. CONCLUSIONS: We present a self contained web application, Epitopemap, for calculating and viewing epitope predictions with multiple methods. The tool is easy to use and will assist in computational screening of viral or bacterial genomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0659-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-45012862015-07-15 Epitopemap: a web application for integrated whole proteome epitope prediction Farrell, Damien Gordon, Stephen V BMC Bioinformatics Software BACKGROUND: Predictions of MHC binding affinity are commonly used in immunoinformatics for T cell epitope prediction. There are multiple available methods, some of which provide web access. However there is currently no convenient way to access the results from multiple methods at the same time or to execute predictions for an entire proteome at once. RESULTS: We designed a web application that allows integration of multiple epitope prediction methods for any number of proteins in a genome. The tool is a front-end for various freely available methods. Features include visualisation of results from multiple predictors within proteins in one plot, genome-wide analysis and estimates of epitope conservation. CONCLUSIONS: We present a self contained web application, Epitopemap, for calculating and viewing epitope predictions with multiple methods. The tool is easy to use and will assist in computational screening of viral or bacterial genomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0659-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-14 /pmc/articles/PMC4501286/ /pubmed/26169908 http://dx.doi.org/10.1186/s12859-015-0659-0 Text en © Farrell and Gordon. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Farrell, Damien
Gordon, Stephen V
Epitopemap: a web application for integrated whole proteome epitope prediction
title Epitopemap: a web application for integrated whole proteome epitope prediction
title_full Epitopemap: a web application for integrated whole proteome epitope prediction
title_fullStr Epitopemap: a web application for integrated whole proteome epitope prediction
title_full_unstemmed Epitopemap: a web application for integrated whole proteome epitope prediction
title_short Epitopemap: a web application for integrated whole proteome epitope prediction
title_sort epitopemap: a web application for integrated whole proteome epitope prediction
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501286/
https://www.ncbi.nlm.nih.gov/pubmed/26169908
http://dx.doi.org/10.1186/s12859-015-0659-0
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