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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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Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2024-09-01
Reeks:Frontiers in Pharmacology
Onderwerpen:
disease network
target discovery
target validation
metabolic dysfunction-associated steatohepatitis (MASH)
liver fibrosis
text mining
Online toegang:https://www.frontiersin.org/articles/10.3389/fphar.2024.1442752/full
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