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

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  1. Get@NRC: Genome-based bioinformatic prediction of major histocompatibility complex (MHC) epitopes (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1007/978-1-62703-589-7_19
AuthorSearch for:
TypeArticle
Journal titleMethods in Molecular Biology
ISSN1064-3745
ISBN9781627035880
Volume1061
Pages309322; # of pages: 14
Subjectepitope; algorithm; article; bioinformatics; CD8+ T lymphocyte; computer program; data base; gene inactivation; gene sequence; genome; major histocompatibility complex; mouse; nonhuman; nucleotide sequence; priority journal; protein localization
AbstractOver 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. © 2013 Springer Science+Business Media, LLC.
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LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); Human Health Therapeutics (HHT-TSH)
Peer reviewedYes
NPARC number21269907
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Record identifier63c00b39-b263-47ba-b784-e42d3327509f
Record created2013-12-13
Record modified2016-05-09
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