Integrating text mining with network models for successful target identification: in vitro validation in MASH-induced liver fibrosis

An in silico target discovery pipeline was developed by including a directional and weighted molecular disease network for metabolic dysfunction-associated steatohepatitis (MASH)-induced liver fibrosis. This approach integrates text mining, network biology, and artificial intelligence/machine learni...

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Principais autores:	Jennifer Venhorst, Roeland Hanemaaijer, Remon Dulos, Martien P. M. Caspers, Karin Toet, Joline Attema, Christa de Ruiter, Gino Kalkman, Tanja Rouhani Rankouhi, Jelle C. B. C. de Jong, Lars Verschuren
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2024-09-01
Series:	Frontiers in Pharmacology
Assuntos:	disease network target discovery target validation metabolic dysfunction-associated steatohepatitis (MASH) liver fibrosis text mining
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fphar.2024.1442752/full
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