A comprehensive multi-evidence framework for network pharmacology-based prediction of dietary flavonoid effects

= 0.843), providing quantitative experimental support of network pharmacology predictions for dietary bioactives. Translating predictions to 506 foods yielded 685 food-ATC therapeutic combinations. Systematic PubMed analysis identified literature-supported evidence for 96 associations (132 unique references), achieving 47.1% cardiovascular predictions showing observational consistency with published studies. Food category analysis identified tomato, cranberry, tea, orange, and blueberry products with strongest evidence (18-40 items). This multi-evidence framework enables evidence-based prediction of dietary polypharmacological effects and provides a computational foundation to generate hypotheses for precision nutrition.