Molecular networks for the study of TCM Pharmacology

被引:222
作者
Zhao, Jing
Jiang, Peng
Zhang, Weidong
机构
[1] Department of Natural Medicinal Chemistry, Second Military Medical University
[2] Department of Mathematics, Logistical Engineering University
[3] Modern Research Center for Traditional Chinese Medicine, Second Military Medical University of China
基金
中国国家自然科学基金;
关键词
molecular networks; disease-associated networks; drug-associated networks; traditional Chinese medicine; pharmacology; TRADITIONAL CHINESE MEDICINE; PROTEIN-INTERACTION NETWORK; ST-JOHNS-WORT; GANODERMA-LUCIDUM; DRUG DISCOVERY; ASTRAGALOSIDE-IV; SYSTEMS BIOLOGY; GENE-EXPRESSION; IN-VIVO; DATABASE;
D O I
10.1093/bib/bbp063
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
To target complex, multi-factorial diseases more effectively, there has been an emerging trend of multi-target drug development based on network biology, as well as an increasing interest in traditional Chinese medicine (TCM) that applies a more holistic treatment to diseases. Thousands of years' clinic practices in TCM have accumulated a considerable number of formulae that exhibit reliable in vivo efficacy and safety. However, the molecular mechanisms responsible for their therapeutic effectiveness are still unclear. The development of network-based systems biology has provided considerable support for the understanding of the holistic, complementary and synergic essence of TCM in the context of molecular networks. This review introduces available sources and methods that could be utilized for the network-based study of TCM pharmacology, proposes a workflow for network-based TCM pharmacology study, and presents two case studies on applying these sources and methods to understand the mode of action of TCM recipes.
引用
收藏
页码:417 / 430
页数:14
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