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.
Chinese Herbal Medicine Meets Biological Networks of Complex Diseases: A Computational Perspective
Published 2017 in Evidence-Based Complementary and Alternative Medicine
ABSTRACT
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- Publication year
2017
- Venue
Evidence-Based Complementary and Alternative Medicine
- Publication date
2017-06-01
- Fields of study
Biology, Medicine, Computer Science
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- Source metadata
Semantic Scholar, PubMed
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