Genome-based bioinformatic prediction of major histocompatibility (MHC)

DOI	Trouver le DOI : https://doi.org/10.1007/978-1-4939-9597-4_18
Auteur	Rechercher : Foote, Simon J.¹
Affiliation	Conseil national de recherches Canada. Thérapeutique en santé humaine
Format	Texte, Chapitre de livre
Sujet	MHC epitope prediction; MHC ligand; T cell; antigen
Résumé	Over the last 17 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 pre-screening 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	2019-07-31
Maison d’édition	Springer
Dans	Immunoproteomics : 287–300.
Série	Methods in Molecular Biology 2024.
Langue	anglais
Publications évaluées par des pairs	Oui
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	5a311613-fadc-40a2-b66f-9601839f0e3d
Enregistrement créé	2021-03-15
Enregistrement modifié	2021-03-15

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