Literature DB >> 22737838

[Application of network pharmacology and high through-put technology on active compounds screening from traditional Chinese medicine].

Qingshan Liu1, Ziqian Zhang, Liang Fang, Yifan Jiang, Xiaoying Yin.   

Abstract

OBJECTIVE: To solve the difficult in the active compounds screening from traditional Chinese medicines (TCM).
METHOD: According to preliminary lab results and related literature, systematic analysis of the high-throughput technology was made. RESULT: Technologies of rapid preparation, high-throughput screening and biochip, together with the thought of drug target network, will contribute to TCM research on active ingredients screening, toxic components exclusion and molecular mechanisms. They are key technologies and ideas for modernization of TCM and research of TCM network pharmacology.
CONCLUSION: High throughput technology and network pharmacology-related technologies will provide new ideas and key methods for active compounds screening from TCM.

Mesh:

Substances:

Year:  2012        PMID: 22737838

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


  4 in total

1.  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

Review 2.  Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment.

Authors:  Runzhi Zhang; Xue Zhu; Hong Bai; Kang Ning
Journal:  Front Pharmacol       Date:  2019-02-21       Impact factor: 5.810

Review 3.  Approaches in studying the pharmacology of Chinese Medicine formulas: bottom-up, top-down-and meeting in the middle.

Authors:  Tao Huang; Linda L D Zhong; Chen-Yuan Lin; Ling Zhao; Zi-Wan Ning; Dong-Dong Hu; Man Zhang; Ke Tian; Chung-Wah Cheng; Zhao-Xiang Bian
Journal:  Chin Med       Date:  2018-03-21       Impact factor: 5.455

Review 4.  Phytochemicals Approach for Developing Cancer Immunotherapeutics.

Authors:  Shu-Yi Yin; Ning-Sun Yang; Tien-Jen Lin
Journal:  Front Pharmacol       Date:  2017-06-19       Impact factor: 5.810

  4 in total

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