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Cited by 1,257

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment

Open access
Zhang, Runzhi, Zhu, Xue, Bai, Hong, Ning, Kang·2019·Frontiers in Pharmacology

Abstract

The research field of systems biology has greatly advanced and, as a result, the concept of network pharmacology has been developed. This advancement, in turn, has shifted the paradigm from a "one-target, one-drug" mode to a "network-target, multiple-component-therapeutics" mode. Network pharmacology is more effective for establishing a "compound-protein/gene-disease" network and revealing the regulation principles of small molecules in a high-throughput manner. This approach makes it very powerful for the analysis of drug combinations, especially Traditional Chinese Medicine (TCM) preparations. In this work, we first summarized the databases and tools currently used for TCM research. Second, we focused on several representative applications of network pharmacology for TCM research, including studies on TCM compatibility, TCM target prediction, and TCM network toxicology research. Third, we compared the general statistics of several current TCM databases and evaluated and compared the search results of these databases based on 10 famous herbs. In summary, network pharmacology is a rational approach for TCM studies, and with the development of TCM research, powerful and comprehensive TCM databases have emerged but need further improvements. Additionally, given that several diseases could be treated by TCMs, with the mediation of gut microbiota, future studies should focus on both the microbiome and TCMs to better understand and treat microbiome-related diseases.

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Metadata

Authors
Zhang, R., Zhu, X., Bai, H., & Ning, K.
Venue
Frontiers in Pharmacology
Published
2019-02-21
Volume
10
Pages
123-123
ISSN
1663-9812 (ISSN-L)
OpenAlex
W2917075888
Cited by
1,257
References
89
FWCI
88.24
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment. https://app.cochat.ai/papers/10.3389/fphar.2019.00123
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Zhang, R., Zhu, X., Bai, H., & Ning, K. (2019). Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2019.00123

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