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Genome-based bioinformatic prediction of major histocompatibility complex (MHC) epitopes

Par Conseil national de recherches du Canada

DOITrouver le DOI : https://doi.org/10.1007/978-1-62703-589-7_19
AuteurRechercher : 1
Affiliation
  1. Conseil national de recherches du Canada. Thérapeutique en santé humaine
FormatTexte, Article
Sujetepitope; algorithm; bioinformatics; CD8+ T lymphocyte; computer program; data base; gene inactivation; gene sequence; genome; major histocompatibility complex; mouse; nucleotide sequence; protein localization
Résumé
Over the last 12 years, a large amount of knowledge has been accumulated on various aspects of Major Histocompatibility Complex (MHC) molecules. In conjunction, numerous algorithms and tools have been developed to screen protein molecules for these MHC receptor sites. By combining these computational tools and databases with genomic sequence information that is now widely available for a vast range of organisms, it is possible to screen whole genomes for MHC epitopes. By prescreening these genomes, it allows the researcher to narrow down possible protein targets for further analysis by traditional tools such as gene knockouts and animal efficacy studies.
Date de publication
Maison d’éditionSpringer
Dans
  • Methods in Molecular Biology 1061 : 309–322.
Langueanglais
Publications évaluées par des pairsOui
Numéro NPARC21269907
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Identificateur de l’enregistrement63c00b39-b263-47ba-b784-e42d3327509f
Enregistrement créé2013-12-13
Enregistrement modifié2021-03-15
Date de modification :