Skip to Main Content (Press Enter)

Logo UNISS
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

Logo UNISS

|

UNIFIND

uniss.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Pubblicazioni

Genetic-driven druggable target identification and validation

Articolo
Data di Pubblicazione:
2018
Citazione:
Genetic-driven druggable target identification and validation / Floris, Matteo; Olla, Stefania; Schlessigner, David; Cucca, Francesco. - In: TRENDS IN GENETICS. - ISSN 0168-9525. - 34:7(2018), p. 555. [10.1016/j.tig.2018.04.004]
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:
1.1 Articolo in rivista
Elenco autori:
Floris, Matteo; Olla, Stefania; Schlessigner, David; Cucca, Francesco
Autori di Ateneo:
CUCCA Francesco
Link alla scheda completa:
https://iris.uniss.it/handle/11388/205694
Pubblicato in:
TRENDS IN GENETICS
Journal
  • Dati Generali

Dati Generali

URL

https://www.cell.com/trends/genetics/fulltext/S0168-9525(18)30074-X
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0