针灸和草药（英文）2026，Vol.6Issue(1)：10-27,18.DOI:10.1097/HM9.0000000000000192
网络药理学赋能药食同源物质研究:人工智能驱动多靶点协同机制解析——从分子网络走向精准健康
Network pharmacology in food-medicine homology:AI-driven decoding of multi-target synergy from molecular networks to precision health
摘要
Abstract
Network pharmacology provides a transformative framework for decoding multi-target,system-level mechanisms of the food-medicine homology(FMH)substances,overcoming the limitations of reductionist approaches by integrating multi-omics data,computational modeling,and network analysis.Central to this paradigm is the"Network Targets"theory,which conceptualizes therapeutic intervention as the reconfiguration of disease-associated biological networks rather than the modulation of isolated single targets.Artificial intelligence accelerates this process by enabling high-dimensional data integration,predictive modeling of synergistic combinations,and the identification of active constituents.This review outlines the key databases and computational tools that operationalize network pharmacology in FMH research and systematically categorizes their applications,including material screening,ingredient identification,synergy analysis,quality standard establishment,safety assessment,formula optimization,functional food discovery,and personalized recommendation,supported by experimental validation across numerous FMH items.Despite the challenges in data standardization and dynamic modeling,the integration of multi-omics,dynamic networks,and centralized repositories will further advance the field.Ultimately,network pharmacology will bridge traditional FMH wisdom with contemporary mechanistic rigor,positioning FMH as the cornerstone of precision nutrition and preventive medicine.关键词
网络药理学/药食同源/人工智能/网络靶标Key words
Artificial intelligence/Food-medicine homology/Network pharmacology/Network targets引用本文复制引用
孙德阳,谌攀,陶丽,马鹏,孟骊冲,殷淑婷,张博,李梢..网络药理学赋能药食同源物质研究:人工智能驱动多靶点协同机制解析——从分子网络走向精准健康[J].针灸和草药（英文）,2026,6(1):10-27,18.基金项目
This work was supported by the project of Henan-Zhongjing Pharmaceutical Big Data Repository and Large Model Algorithm Development Research(252028037). （252028037）
