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Network Pharmacology Databases for Traditional Chinese Medicine

Review and Assessment

Bibliographic Data

ID23323441
AuthorsRunzhi Zhang (0000-0002-0763-5928, Huazhong University of Science and Technology), Xue Zhu (0000-0002-7337-6186, Huazhong University of Science and Technology), Hong Bai (0000-0002-5945-4782, Huazhong University of Science and Technology, corresponding author), Kang Ning (0000-0003-3325-5387, Huazhong University of Science and Technology, corresponding author)
Year2019
Volume10
Pages123-123
Publication date2019-02-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Pharmacology (JOURNAL)
Journal identifiersISSN: 1663-9812 • E-ISSN: 1663-9812
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fphar.2019.00123
PMID30846939
OpenAlexW2917075888
LanguageEN
Citations received80
References cited100

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.

Alternative medicine · Biology · Computational biology · Drug · Systems pharmacology · Traditional Chinese medicine · Chromatography in Natural Products · Computer Science · Medicine · Metabolomics and Mass Spectrometry Studies · Pharmacological Effects of Natural Compounds · Pharmacology

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    Open Access•Li Zhao, Hong Zhang et al.•Journal of Ethnopharmacology•2023

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  • The mechanism of dioscin preventing lung cancer based on network pharmacology and experimental validation

    Open Access•Peng Xi, Xi Peng et al.•Journal of Ethnopharmacology•2022

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    Open Access•Fangli Zhao, Guochun Li et al.•Journal of Ethnopharmacology•2015

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    Open Access•Yan Li, Chunxiao Han et al.•Journal of Ethnopharmacology•2014

  • Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease

    Open Access•Weiyang Tao, Xue Xu et al.•Journal of Ethnopharmacology•2013

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    Open Access•Chi-Rei Wu, Chi‐Rei Wu et al.•Journal of Ethnopharmacology•2007

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Unique citing works80
Citations per year4,21
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 69
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