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Genetic-Driven Druggable Target Identification and Validation

Articolo
Data di Pubblicazione:
2018
Abstract:
Choosing the right biological target is the critical primary decision for the development of new drugs. Systematic genetic association testing of both human diseases and quantitative traits, along with resultant findings of coincident associations between them, is becoming a powerful approach to infer drug targetable candidates and generate in vitro tests to identify compounds that can modulate them therapeutically. Here, we discuss opportunities and challenges, and infer criteria for the optimal use of genetic findings in the drug discovery pipeline.
Tipologia CRIS:
01.09 Rassegna della letteratura scientifica in rivista (Literature review)
Keywords:
coincident genetic associations; drug discovery; druggability; quantitative phenotypes; therapeutic targets.
Elenco autori:
Cucca, Francesco; Floris, Matteo; Olla, Stefania
Autori di Ateneo:
OLLA STEFANIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/428756
Pubblicato in:
TRENDS IN GENETICS
Journal
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