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epitopepredict: a tool for integrated MHC binding prediction

A key step in the cellular adaptive immune response is the presentation of antigens to T cells. Computational prediction of T cell epitopes has many applications in vaccine design and immuno-diagnostics. This is the basis of immunoinformatics, which allows in silico screening of peptides before expe...

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Detalles Bibliográficos
Autor principal: Farrell, Damien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: GigaScience Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631954/
https://www.ncbi.nlm.nih.gov/pubmed/36824339
http://dx.doi.org/10.46471/gigabyte.13
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author Farrell, Damien
author_facet Farrell, Damien
author_sort Farrell, Damien
collection PubMed
description A key step in the cellular adaptive immune response is the presentation of antigens to T cells. Computational prediction of T cell epitopes has many applications in vaccine design and immuno-diagnostics. This is the basis of immunoinformatics, which allows in silico screening of peptides before experiments are performed. With the availability of whole genomes for many microbial species it is now feasible to computationally screen whole proteomes for candidate peptides. epitopepredict is a programmatic framework and command line tool designed to aid this process. It provides access to multiple binding prediction algorithms under a single interface and scales for whole genomes using multiple target MHC alleles. A web interface is provided to assist visualization and filtering of the results. The software is freely available under an open-source license from https://github.com/dmnfarrell/epitopepredict
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spelling pubmed-96319542023-02-22 epitopepredict: a tool for integrated MHC binding prediction Farrell, Damien GigaByte Technical Release A key step in the cellular adaptive immune response is the presentation of antigens to T cells. Computational prediction of T cell epitopes has many applications in vaccine design and immuno-diagnostics. This is the basis of immunoinformatics, which allows in silico screening of peptides before experiments are performed. With the availability of whole genomes for many microbial species it is now feasible to computationally screen whole proteomes for candidate peptides. epitopepredict is a programmatic framework and command line tool designed to aid this process. It provides access to multiple binding prediction algorithms under a single interface and scales for whole genomes using multiple target MHC alleles. A web interface is provided to assist visualization and filtering of the results. The software is freely available under an open-source license from https://github.com/dmnfarrell/epitopepredict GigaScience Press 2021-02-24 /pmc/articles/PMC9631954/ /pubmed/36824339 http://dx.doi.org/10.46471/gigabyte.13 Text en © The Author(s) 2021. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Release
Farrell, Damien
epitopepredict: a tool for integrated MHC binding prediction
title epitopepredict: a tool for integrated MHC binding prediction
title_full epitopepredict: a tool for integrated MHC binding prediction
title_fullStr epitopepredict: a tool for integrated MHC binding prediction
title_full_unstemmed epitopepredict: a tool for integrated MHC binding prediction
title_short epitopepredict: a tool for integrated MHC binding prediction
title_sort epitopepredict: a tool for integrated mhc binding prediction
topic Technical Release
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631954/
https://www.ncbi.nlm.nih.gov/pubmed/36824339
http://dx.doi.org/10.46471/gigabyte.13
work_keys_str_mv AT farrelldamien epitopepredictatoolforintegratedmhcbindingprediction