Ensemble Machine learning model identified citrusinol as functional food candidate for improving myotube differentiation and controlling CT26-Induced myotube atrophy

Ensemble Machine learning model identified citrusinol as functional food candidate for improving myotube differentiation and controlling CT26-Induced myotube atrophy

Skeletal muscle loss leads to decreased quality of life, increased incidence of chronic disease and mortality. To identify functional food materials to alleviate muscle atrophy, we built a multitarget-based machine learning system to identify novel phytochemicals that can inhibit TGF-β, which induce...

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Bibliographic Details
Main Authors: Justin Jaesuk Lee, Byeong Min Ahn, Nara Kim, Yuran Noh, Hee Ju Ahn, Eun Sol Hwang, Jaewon Shim, Ki Won Lee, Young Jin Jang
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Journal of Functional Foods
Subjects:
Functional food
Muscle atrophy
Machine learning
Citrusinol
TGF-β pathway
PGC-1α pathway
Online Access:http://www.sciencedirect.com/science/article/pii/S1756464623001421

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http://www.sciencedirect.com/science/article/pii/S1756464623001421

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