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

被引:11
作者
Liu, Yishu [1 ]
Li, Xue [1 ]
Chen, Chao [1 ]
Ding, Nan [1 ]
Ma, Shiyu [2 ]
Yang, Ming [1 ]
机构
[1] Shanghai Univ Tradit Chinese Med, Longhua Hosp, Shanghai 200032, Peoples R China
[2] Shanghai Jiao Tong Univ, Ruijin Hosp, Shanghai 200025, Peoples R China
基金
上海市自然科学基金;
关键词
active ingredients; compatibility rules; molecular mechanism; network analysis; network pharmacology; systems biology; target prediction; traditional chinese medicine; TRADITIONAL CHINESE MEDICINE; MOLECULAR-MECHANISM; ACUTE TOXICITY; PREDICTION; DECOCTION; STITCH; METABOLOMICS; ASSOCIATION; DATABASE; PROGRESS;
D O I
10.1016/j.chmed.2023.09.008
中图分类号
R914 [药物化学];
学科分类号
100701 ;
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. (c) 2024 Tianjin Press of Chinese Herbal Medicines. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:572 / 588
页数:17
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