Progress of Studies on Traditional Chinese Medicine Based onComplex Network Analysis
  
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DOI:10.4103/wjtcm.wjtcm_7_17
KeyWord:Complex network analysis, formula, mechanism, syndrome, traditional Chinese medicine
           
AuthorInstitution
Qian‑Ru Zhangab a.Specialty Committee on Network Pharmacology, World Federation of Chinese Medicine Societies, Beijing ,bState b.Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau , China
Xiang‑Jun Kongab a.Specialty Committee on Network Pharmacology, World Federation of Chinese Medicine Societies, Beijing ,bState b.Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau , China
Hai‑Yu Xuac a.Specialty Committee on Network Pharmacology, World Federation of Chinese Medicine Societies, Beijing , c.Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing
Yuan‑Jia Huab a.Specialty Committee on Network Pharmacology, World Federation of Chinese Medicine Societies, Beijing ,bState b.Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau , China
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Abstract:
      Traditional Chinese medicine (TCM) is a distinct medical system that deals with the life–health–disease–environment relationship using holistic, dynamic, and dialectical thinking. However, reductionism has often restricted the conventional studies on TCM, and these studies did not investigate the central concepts of TCM theory about the multiple relationships among life, health, disease, and environment. Complex network analysis describes a wide variety of complex systems in the real world, and it has the potential to bridge the gap between TCM and modern science owing to the holism of TCM theory. This article summarizes the current research involving TCM network analysis and highlights the computational tools and analysis methods involved in this research. Finally, to inspire a new approach, the article discussed the potential problems underlying the application of TCM network analysis
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