Identifying nutraceutical targets to treat polycystic ovary syndrome using graph representation learning

Abstract Polycystic ovary syndrome (PCOS) is a complex, multifactorial, and polygenic disorder. Here, we employed machine learning (ML) techniques to analyze large open-source datasets to identify bioactive molecules in foods and pharmacological agents that interact with genes and biological functio...

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Bibliografiske detaljer

Principais autores:	Simon Hanassab, Joshua Southern, Ayomide V. Olabode, Ivan Laponogov, Michael Bronstein, Alexander N. Comninos, Thomas Heinis, Ali Abbara, Chioma Izzi-Engbeaya, Kirill Veselkov, Waljit S. Dhillo
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-12-01
Serier:	npj Women's Health
Online adgang:	https://doi.org/10.1038/s44294-025-00117-4
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