Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective
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ECAM.2017.7198645.pdf
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Author(s) •
Gu, Shuo
Pei, Jianfeng
Date Issued
June 2017
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
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.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1155/2017/7198645