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Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective

Author(s)
Gu, Shuo; Pei, Jianfeng
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Abstract
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.
Date issued
2017-06
URI
http://hdl.handle.net/1721.1/110050
Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Journal
Evidence-Based Complementary and Alternative Medicine
Publisher
Hindawi Publishing Corporation
Citation
Gu, Shuo and Jianfeng Pei. "Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective." Evidence-Based Complementary and Alternative Medicine 2017 (2017).
Version: Final published version
ISSN
1741-427X
1741-4288

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