Literature DB >> 22066431

[Network target: a starting point for traditional Chinese medicine network pharmacology].

Shao Li1.   

Abstract

Understanding the interactions between numerous chemical compounds of herbs or herbal formulae and complex biological systems related with diseases or traditional Chinese medicine (TCM) syndromes is one of great dilemmas in current studies on TCM. To address such a difficult issue, we propose a novel concept and methodology of "Network Target" based on our previous works and from the perspective of network pharmacology as well as systems biology. The network target treats a disease-specific biomolecular network as a target to help design and predict the best possible treatments. Focused on mapping disease phenotypes and herbal compounds into biomolecular networks and then calculating, analyzing and predicting the mechanism of their mutual interactions, the network target approaches will facilitate discovery of effective compounds and their combinations, elucidation of mechanistic relationships between herbal formulae and diseases or TCM syndromes, and development of rational drug designs for TCM. In this paper, our recent progresses on the methodology of Network Target and its applications in herbal medicine are reviewed to provide reference for the coming TCM network pharmacology.

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Year:  2011        PMID: 22066431

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


  26 in total

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Authors:  Vivekanand Sharma; Indra Neil Sarkar
Journal:  Brief Bioinform       Date:  2012-05-15       Impact factor: 11.622

2.  Exploring traditional chinese medicine by a novel therapeutic concept of network target.

Authors:  Shao Li
Journal:  Chin J Integr Med       Date:  2016-05-04       Impact factor: 1.978

3.  An Integrative Platform of TCM Network Pharmacology and Its Application on a Herbal Formula, Qing-Luo-Yin.

Authors:  Bo Zhang; Xu Wang; Shao Li
Journal:  Evid Based Complement Alternat Med       Date:  2013-04-09       Impact factor: 2.629

4.  Network pharmacology: a new approach for chinese herbal medicine research.

Authors:  Gui-Biao Zhang; Qing-Ya Li; Qi-Long Chen; Shi-Bing Su
Journal:  Evid Based Complement Alternat Med       Date:  2013-05-20       Impact factor: 2.629

5.  Prediction and Characterisation of the System Effects of Aristolochic Acid: A Novel Joint Network Analysis towards Therapeutic and Toxicological Mechanisms.

Authors:  Wenna Nie; Yana Lv; Leyu Yan; Xi Chen; Haitao Lv
Journal:  Sci Rep       Date:  2015-12-01       Impact factor: 4.379

6.  Vitexicarpin acts as a novel angiogenesis inhibitor and its target network.

Authors:  Bo Zhang; Lu Liu; Shiwen Zhao; Xu Wang; Liyang Liu; Shao Li
Journal:  Evid Based Complement Alternat Med       Date:  2013-02-12       Impact factor: 2.629

7.  Navigating traditional chinese medicine network pharmacology and computational tools.

Authors:  Ming Yang; Jia-Lei Chen; Li-Wen Xu; Guang Ji
Journal:  Evid Based Complement Alternat Med       Date:  2013-07-31       Impact factor: 2.629

8.  A network pharmacology approach to understanding the mechanisms of action of traditional medicine: Bushenhuoxue formula for treatment of chronic kidney disease.

Authors:  Shao-hua Shi; Yue-piao Cai; Xiao-jun Cai; Xiao-yong Zheng; Dong-sheng Cao; Fa-qing Ye; Zheng Xiang
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

9.  A network pharmacology approach to determine active compounds and action mechanisms of ge-gen-qin-lian decoction for treatment of type 2 diabetes.

Authors:  Huiying Li; Linhua Zhao; Bo Zhang; Yuyu Jiang; Xu Wang; Yun Guo; Hongxing Liu; Shao Li; Xiaolin Tong
Journal:  Evid Based Complement Alternat Med       Date:  2014-01-16       Impact factor: 2.629

10.  Therapeutic Targets and Mechanism of Xingpi Jieyu Decoction in Depression: A Network Pharmacology Study.

Authors:  Ze Chang; Li-Juan He; Dang-Feng Tian; Qiang Gao; Jing-Feng Ling; Yu-Chun Wang; Zhen-Yun Han; Rong-Juan Guo
Journal:  Evid Based Complement Alternat Med       Date:  2021-06-23       Impact factor: 2.629

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