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Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective
Joint Authors
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-11
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
With the rapid development of cheminformatics, computational biology, and systems biology, great progress has been made recently in the computational research of Chinese herbal medicine with in-depth understanding towards pharmacognosy.
This paper summarized these studies in the aspects of computational methods, traditional Chinese medicine (TCM) compound databases, and TCM network pharmacology.
Furthermore, we chose arachidonic acid metabolic network as a case study to demonstrate the regulatory function of herbal medicine in the treatment of inflammation at network level.
Finally, a computational workflow for the network-based TCM study, derived from our previous successful applications, was proposed.
American Psychological Association (APA)
Gu, Shuo& Pei, Jianfeng. 2017. Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective. Evidence-Based Complementary and Alternative Medicine،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1154475
Modern Language Association (MLA)
Gu, Shuo& Pei, Jianfeng. Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective. Evidence-Based Complementary and Alternative Medicine No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1154475
American Medical Association (AMA)
Gu, Shuo& Pei, Jianfeng. Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective. Evidence-Based Complementary and Alternative Medicine. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1154475
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1154475