{"title":"Advances in the application of network analysis methods in traditional Chinese medicine research","authors":"Defu Tie , Mulan He , Wenlong Li , Zheng Xiang","doi":"10.1016/j.phymed.2024.156256","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This review aims at evaluating the role and potential applications of network analysis methods in the medicinal substances of traditional Chinese medicine (TCM), theories of TCM compatibility, properties of herbs, and TCM syndromes.</div></div><div><h3>Methods</h3><div>Literature was retrieved from databases, such as CNKI, PubMed, and Web of Science, using keywords, including \"network analysis,\" \"network biology,\" \"network pharmacology,\" and \"network medicine.\" The extracted literature included the biological network construction (including ingredient-target and target-disease relations), analysis of network topology characteristics (including node degree, clustering coefficient, and path length), network modularization analysis, functional annotation and so on. These studies were categorized and organized based on their research methods, application domains, and other relevant characteristics.</div></div><div><h3>Results</h3><div>Network analysis algorithms, such as network distance, random walk, matrix factorization, graph embedding, and graph neural networks, are widely applied in fields related to the properties, compatibility, and mechanisms of TCM. They effectively reflect the interactive relations within the complex systems of TCM and elucidate and clarify theories, such as the effective substances, the principles of TCM compatibility, the TCM syndromes, and the properties of TCM.</div></div><div><h3>Conclusion</h3><div>The network analysis method is a powerful mathematical and computational tool that reveals the structure, dynamics, and functions of complex systems by analyzing the elements and their relations. This approach has effectively promoted the modernization of TCM, providing essential theoretical and practical tools for personalized treatment and scientific research on TCM. It also offers a significant methodological framework for the modernization and internationalization of TCM.</div></div>","PeriodicalId":20212,"journal":{"name":"Phytomedicine","volume":"136 ","pages":"Article 156256"},"PeriodicalIF":6.7000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytomedicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0944711324009139","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
This review aims at evaluating the role and potential applications of network analysis methods in the medicinal substances of traditional Chinese medicine (TCM), theories of TCM compatibility, properties of herbs, and TCM syndromes.
Methods
Literature was retrieved from databases, such as CNKI, PubMed, and Web of Science, using keywords, including "network analysis," "network biology," "network pharmacology," and "network medicine." The extracted literature included the biological network construction (including ingredient-target and target-disease relations), analysis of network topology characteristics (including node degree, clustering coefficient, and path length), network modularization analysis, functional annotation and so on. These studies were categorized and organized based on their research methods, application domains, and other relevant characteristics.
Results
Network analysis algorithms, such as network distance, random walk, matrix factorization, graph embedding, and graph neural networks, are widely applied in fields related to the properties, compatibility, and mechanisms of TCM. They effectively reflect the interactive relations within the complex systems of TCM and elucidate and clarify theories, such as the effective substances, the principles of TCM compatibility, the TCM syndromes, and the properties of TCM.
Conclusion
The network analysis method is a powerful mathematical and computational tool that reveals the structure, dynamics, and functions of complex systems by analyzing the elements and their relations. This approach has effectively promoted the modernization of TCM, providing essential theoretical and practical tools for personalized treatment and scientific research on TCM. It also offers a significant methodological framework for the modernization and internationalization of TCM.
期刊介绍:
Phytomedicine is a therapy-oriented journal that publishes innovative studies on the efficacy, safety, quality, and mechanisms of action of specified plant extracts, phytopharmaceuticals, and their isolated constituents. This includes clinical, pharmacological, pharmacokinetic, and toxicological studies of herbal medicinal products, preparations, and purified compounds with defined and consistent quality, ensuring reproducible pharmacological activity. Founded in 1994, Phytomedicine aims to focus and stimulate research in this field and establish internationally accepted scientific standards for pharmacological studies, proof of clinical efficacy, and safety of phytomedicines.