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Navigating Traditional Chinese Medicine Network Pharmacology and Computational Tools.

Authors :
Ming Yang
Jia-Lei Chen
Li-Wen Xu
Guang Ji
Source :
Evidence-based Complementary & Alternative Medicine (eCAM). 2013, Vol. 2013, p1-24. 24p. 6 Diagrams, 5 Charts.
Publication Year :
2013

Abstract

The concept of "network target" has ushered in a new era in the field of traditional Chinese medicine (TCM). As a new research approach, network pharmacology is based on the analysis of network models and systems biology. Taking advantage of advancements in systems biology, a high degree of integration data analysis strategy and interpretable visualization provides deeper insights into the underlying mechanisms of TCM theories, including the principles of herb combination, biological foundations of herb or herbal formulae action, and molecular basis of TCM syndromes. In this study, we review several recent developments in TCM network pharmacology research and discuss their potential for bridging the gap between traditional and modern medicine. We briefly summarize the two main functional applications of TCM network models: understanding/uncovering and predicting/discovering. In particular, we focus on how TCM network pharmacology research is conducted and highlight different computational tools, such as network-based and machine learning algorithms, and sources that have been proposed and applied to the different steps involved in the research process. To make network pharmacology research commonplace, some basic network definitions and analysis methods are presented. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1741427X
Volume :
2013
Database :
Academic Search Index
Journal :
Evidence-based Complementary & Alternative Medicine (eCAM)
Publication Type :
Academic Journal
Accession number :
95495305
Full Text :
https://doi.org/10.1155/2013/731969