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

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.

Authors

Institutions

Publication Details

Journal
The American Journal of Chinese Medicine
Published
2025-01-01
DOI
https://doi.org/10.1142/s0192415x25500752
Citations
8
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
19.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yongsheng Liu, Jingxin Mao, Li Wang, Li Zhang et al.
8 citations
The American Journal of Chinese Medicine
Traditional Chinese Medicine Analysis
19.05
article

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

Yongsheng Liu, Jingxin Mao, Li Wang, Li Zhang, Xue‐Mei Li, Yuanfang Hou, Xiaodong Li, Xiaobing Li
article en
8 citations

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.

The American Journal of Chinese MedicineVol. 53(07)
Third Affiliated Hospital of Guangzhou Medical University (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical and Pharmaceutical College (CN), Chongqing Medical University (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 1%
Traditional Chinese Medicine Analysis
19.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.