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

DOI	Resolve DOI: https://doi.org/10.1007/978-1-62703-589-7_19
Author	Search for: Foote, S.J.¹
Affiliation	National Research Council of Canada. Human Health Therapeutics
Format	Text, Article
Subject	epitope; algorithm; bioinformatics; CD8+ T lymphocyte; computer program; data base; gene inactivation; gene sequence; genome; major histocompatibility complex; mouse; nucleotide sequence; protein localization
Abstract	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.
Publication date	2013-07-19
Publisher	Springer
In	Methods in Molecular Biology 1061: 309–322.
Language	English
Peer reviewed	Yes
NPARC number	21269907
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Record identifier	63c00b39-b263-47ba-b784-e42d3327509f
Record created	2013-12-13
Record modified	2021-03-15