A comprehensive multi-evidence framework for network pharmacology-based prediction of dietary flavonoid effects (opens in new tab)

Dietary flavonoids associate with various aspects of disease prevention, yet systematic frameworks integrating computational prediction with experimental and epidemiological evidence remain limited. We develop a multi-tiered network pharmacology framework that quantitatively predicts flavonoid-related therapeutic properties and supports these predictions with integrated computational, experimental, and epidemiological evidence. We constructed a master network of 17,869 human proteins, 14 diet...