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 peptide...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Damien Farrell
Formato:	article
Lenguaje:	EN
Publicado:	GigaScience Press 2021
Materias:	Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/dff035fe77ac41a0af4714774a57359a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:dff035fe77ac41a0af4714774a57359a
record_format	dspace
spelling	oai:doaj.org-article:dff035fe77ac41a0af4714774a57359a2021-12-02T15:00:25Zepitopepredict: a tool for integrated MHC binding prediction10.46471/gigabyte.132709-4715https://doaj.org/article/dff035fe77ac41a0af4714774a57359a2021-02-01T00:00:00Zhttps://gigabytejournal.com/articles/13https://doaj.org/toc/2709-4715 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 Damien FarrellGigaScience PressarticleElectronic computers. Computer scienceQA75.5-76.95ENGigaByte (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electronic computers. Computer science QA75.5-76.95
spellingShingle	Electronic computers. Computer science QA75.5-76.95 Damien Farrell epitopepredict: a tool for integrated MHC binding prediction
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
format	article
author	Damien Farrell
author_facet	Damien Farrell
author_sort	Damien Farrell
title	epitopepredict: a tool for integrated MHC binding prediction
title_short	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_sort	epitopepredict: a tool for integrated mhc binding prediction
publisher	GigaScience Press
publishDate	2021
url	https://doaj.org/article/dff035fe77ac41a0af4714774a57359a
work_keys_str_mv	AT damienfarrell epitopepredictatoolforintegratedmhcbindingprediction
_version_	1718389169865097216

epitopepredict: a tool for integrated MHC binding prediction

Ejemplares similares