Exploration of compatibility rules and discovery of active ingredients in TCM formulas by network pharmacology  

作　　者：Yishu Liu Xue Li Chao Chen Nan Ding Shiyu Ma Ming Yang 

机构地区：[1]Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 200032,China [2]Ruijin Hospital Affiliated to Shanghai Jiaotong University,Shanghai 200025,China

出　　处：《Chinese Herbal Medicines》2024年第4期572-588,共17页中草药（英文版）

基　　金：supported by Natural Science Foundation of Shanghai (No. 22ZR1462100);Shanghai Municipal Education Commission Collaborative Innovation Center, Clinical Evaluation Platform for Traditional Chinese Medicine and Chinese Patent Medicine (No. A1-U21-205-902);Long Hua Hospital Research Projects (No. YM2021016 and RC-2020-02-04);Shanghai Sailing Program (No. 22YF1440300);Shanghai ‘‘Rising Stars of Medical Talents” Youth Development Program (Clinical Pharmacist Program), Shanghai Jiaotong University ‘‘Jiaotong University Star” Program (medical-engineering cross-research, No. YG2022QN015);Shanghai Flagship Hospital of Traditional Chinese and Western Medicine [No. ZY(2021-2023)-0205-01];Shanghai Traditional Chinese Medicine Colorectal Cancer Speciality Alliance [No. ZY(20212023)-0302];Shanghai Municipal Health Commission Project (No. 2020LZ007);Traditional Chinese Medicine Research Project of Shanghai Health Commission (No. 2022QN097);Demonstration-oriented Research Ward Construction Project of Shanghai Hospital Development Center (No. SHDC2022CRW006)。

摘　　要：Network pharmacology is an interdisciplinary field that utilizes computer science, technology, and biological networks to investigate the intricate interplay among compounds/ingredients, targets, and diseases. Within the realm of traditional Chinese medicine(TCM), network pharmacology serves as a scientific approach to elucidate the compatibility relationships and underlying mechanisms of action in TCM formulas. It facilitates the identification of potential active ingredients within these formulas, providing a comprehensive understanding of their holistic and systematic nature, which aligns with the holistic principles inherent in TCM theory. TCM formulas exhibit complexity due to their multicomponent characteristic, involving diverse targets and pathways. Consequently, investigating their material basis and mechanisms becomes challenging. Network pharmacology has emerged as a valuable approach in TCM formula research, leveraging its holistic and systematic advantages. The manuscript aims to provide an overview of the application of network pharmacology in studying TCM formula compatibility rules and explore future research directions. Specifically, we focus on how network pharmacology aids in interpreting TCM pharmacological theories and understanding formula compositions.Additionally, we elucidate the process of utilizing network pharmacology to identify active ingredients within TCM formulas. These findings not only offer novel research models and perspectives for integrating network pharmacology with TCM theory but also present new methodologies for investigating TCM formula compatibility. All in all, network pharmacology has become an indispensable and crucial tool in advancing TCM formula research.

关 键 词：active ingredients compatibility rules molecular mechanism network analysis network pharmacology systems biology target prediction traditional chinese medicine 

分 类 号：R285[医药卫生—中药学] R289.1[医药卫生—中医学]