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This is a In Vitro Study study.

August 16, 2025PharmaceuticalsOpen Access

Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics

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Flavonoids were identified as the most abundant compound class with senotherapeutic activity.
A total of 714 compounds were found, of which 270 showed promising medicinal chemistry properties.
Using network pharmacology and machine learning, 3 models classified compounds against senescence.
An interactive web tool was developed to share findings with the scientific community.

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Network pharmacology identifies 714 compounds with senotherapeutic potential, highlighting flavonoids as key targets.

Santiago-de-la-Cruz et al. (2025) studied this question.

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