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The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula

Zhao, Li, Zhang, Hong, Li, Ning, Chen, Jinman, Xu, Hao, Wang, Yongjun, Liang, Qianqian·2023·Journal of Ethnopharmacology

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE Network pharmacology is a new discipline based on systems biology theory, biological system network analysis, and multi-target drug molecule design specific signal node selection. The mechanism of action of TCM formula has the characteristics of multiple targets and levels. The mechanism is similar to the integrity, systematization and comprehensiveness of network pharmacology, so network pharmacology is suitable for the study of the pharmacological mechanism of Chinese medicine compounds. AIM OF THE STUDY The paper summarizes the present application status and existing problems of network pharmacology in the field of Chinese medicine formula, and formulates the research ideas, up-to-date key technology and application method and strategy of network pharmacology. Its purpose is to provide guidance and reference for using network pharmacology to reveal the modern scientific connotation of Chinese medicine. MATERIALS AND METHODS Literatures in this review were searched in PubMed, China National Knowledge Infrastructure (CNKI), Web of Science, ScienceDirect and Google Scholar using the keywords "traditional Chinese medicine", "Chinese herb medicine" and "network pharmacology". The literature cited in this review dates from 2002 to 2022. RESULTS Using network pharmacology methods to predict the basis and mechanism of pharmacodynamic substances of traditional Chinese medicines has become a trend. CONCLUSION Network pharmacology is a promising approach to reveal the pharmacology mechanism of Chinese medicine formula.

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Metadata

Authors
Zhao, L., Zhang, H., Li, N., Chen, J., Xu, H., Wang, Y., & Liang, Q.
Venue
Journal of Ethnopharmacology
Publisher
Elsevier BV
Published
2023-06
Volume
309
Pages
116306
ISSN
0378-8741 (ISSN-L)
OpenAlex
W4322505937
Cited by
963
References
155
FWCI
126.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula. https://app.cochat.ai/papers/10.1016/j.jep.2023.116306
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Zhao, L., Zhang, H., Li, N., Chen, J., Xu, H., Wang, Y., & Liang, Q. (2023). Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula. Journal of Ethnopharmacology. https://doi.org/10.1016/j.jep.2023.116306

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.