Literature DB >> 35178906

[Traditional Chinese medicine network pharmacology: development in new era under guidance of network pharmacology evaluation method guidance].

Zi-Yi Wang1, Xin Wang1, Dai-Yan Zhang2, Yuan-Jia Hu2, Shao Li1.   

Abstract

Traditional Chinese medicine(TCM) has unique advantages in the prevention and treatment of diseases owing to its holistic view and more than 2 000 years of experience in the clinical use of natural medicine. The "holistic" characteristic of TCM gives birth to a new generation of research paradigm featuring "network" and "system", which has been developing rapidly in the era of biomedical big data and artificial intelligence. Network pharmacology, a representative research field, provides new ideas and methods for the research of the interdiscipline of artificial intelligence and medicine, the analysis of massive biomedical data, and the transformation from data to knowledge. TCM plays an important role in proposing the core theory of "network target" and promoting the establishment and development of network pharmacology, and has taken the lead in formulating the first international standard of network pharmacology--Network Pharmacology Evaluation Method Guidance. In terms of theory, network target can systematically link drugs and diseases and quantitatively interpret the overall regulatory mechanism of drugs. In the aspect of method, network pharmacology is developing towards a research model that combines computational, experimental, and clinical approaches. This review introduces the resent important progress of TCM network pharmacology in predicting drug targets, understanding the biological basis of drugs and diseases, and searching for disease and syndrome biomarkers. Under the guidance of Network Pharmacology Evaluation Method Guidance, the development of network pharmacology is expected to become more and more standardized and healthy. Network target will help produce more high-quality research outcomes in TCM and effectively boost the modernization and internationalization of TCM.

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Keywords:  Network Pharmacology Evaluation Method Guidance; network pharmacology; network target; traditional Chinese medicine

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Year:  2022        PMID: 35178906     DOI: 10.19540/j.cnki.cjcmm.20210914.702

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  4 in total

1.  Study on Mechanism of Yiqi Yangyin Jiedu Recipe Inhibiting Triple Negative Breast Cancer Growth: A Network Pharmacology and In Vitro Verification.

Authors:  Xin Sun; Panling Xu; Fengli Zhang; Ting Sun; Haili Jiang; Mei Zhang; Ping Li
Journal:  J Oncol       Date:  2022-03-27       Impact factor: 4.375

2.  Network pharmacology combined with pharmacodynamics revealed the anti-inflammatory mechanism of Tanreqing capsule against acute-exacerbation chronic obstructive pulmonary disease.

Authors:  Xiao-Xiao Han; Yan-Ge Tian; Xue-Fang Liu; Di Zhao; Xue-Hang Du; Hao-Ran Dong; Su-Xiang Feng; Jian-Sheng Li
Journal:  Sci Rep       Date:  2022-08-17       Impact factor: 4.996

3.  Analysis of the Mechanism of GuizhiFuling Wan in Treating Adenomyosis Based on Network Pharmacology Combined with Molecular Docking and Experimental Verification.

Authors:  Yaxin Shi; Chengyuan Zhang; Xin Wang; Zilu Wang; Yiran Zhang; Zhiyong Liu; Xin Wang; Wei Shi
Journal:  Evid Based Complement Alternat Med       Date:  2022-08-26       Impact factor: 2.650

4.  Study on the molecular mechanisms of tetrandrine against pulmonary fibrosis based on network pharmacology, molecular docking and experimental verification.

Authors:  Jie Li; Yi Wang; Rui Wang; Meng-Yu Wu; Jing Shan; Ying-Chi Zhang; Hai-Ming Xu
Journal:  Heliyon       Date:  2022-08-13
  4 in total

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