Identifying Candidate Flavonoids for Non-Alcoholic Fatty Liver Disease by Network-Based Strategy

Identifying Candidate Flavonoids for Non-Alcoholic Fatty Liver Disease by Network-Based Strategy

Nonalcoholic fatty liver disease (NAFLD) is the most common type of chronic liver disease and lacks guaranteed pharmacological therapeutic options. In this study, we applied a network-based framework for comprehensively identifying candidate flavonoids for the prevention and/or treatment of NAFLD. F...

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Bibliographic Details
Main Authors: Won-Yung Lee, Choong-Yeol Lee, Jin-Seok Lee, Chang-Eop Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Pharmacology
Subjects:
flavonoids
non-alcoholic fatty liver disease
network pharmacology
network medicine
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.892559/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2022.892559/full

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