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September 10, 2025The American Journal of Chinese Medicine19 citations

Advancing Traditional Chinese Medicine Research through Network Pharmacology: Strategies for Target Identification, Mechanism Elucidation and Innovative Therapeutic Applications

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XLXiaobing LiXLXiaodong LiLWLi Wang

Key Points

  • Network pharmacology advances the therapeutic understanding of traditional chinese medicine, revealing new treatment possibilities.
  • Core bioactive components and their mechanisms of action were identified through systematic approach, aiding effective drug discovery.
  • Integration with omics technologies enables a holistic view of traditional chinese medicine's efficacy in disease management.
  • These strategies lay a scientific foundation for modernizing traditional chinese medicine and enhancing its global acceptance.

Abstract

Traditional Chinese medicine (TCM) is characterized by its multi-component, multi-target, and multi-pathway properties, which make it an ideal candidate for network pharmacology applications. This approach provides a comprehensive framework for understanding the therapeutic effects of TCM in managing complex diseases. This review highlights recent advancements in network pharmacology as applied to TCM, and focuses on key achievements such as the identification of core bioactive components, target prediction, and the elucidation of mechanisms of action. Notable studies, including network pharmacology research on artemisinin and Compound Danshen Droplet Pills, demonstrate the practical application of this methodology in drug discovery and disease management. Furthermore, this review explores the integration of network pharmacology with omics technologies, and enables a more holistic understanding of TCM’s efficacy. These advancements are crucial in promoting the modernization of TCM and enhancing its integration into contemporary medicine. In conclusion, network pharmacology is advancing TCM research, providing a scientific basis for its clinical application, and paving the way for its global acceptance.

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Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68c1dda254b1d3bfb60fc4b1https://doi.org/10.1142/s0192415x25500752
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