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Global Mapping of Traditional Chinese Medicine into Bioactivity Space and Pathways Annotation Improves Mechanistic Understanding and Discovers Relationships between Therapeutic Action (Sub)classes
Joint Authors
Mohd Fauzi, Fazlin
Mohamad Zobir, Siti Zuraidah
Liggi, Sonia
Drakakis, Georgios
Fu, Xianjun
Bender, Andreas
Fan, Tai-Ping
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-18
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
Traditional Chinese medicine (TCM) still needs more scientific rationale to be proven for it to be accepted further in the West.
We are now in the position to propose computational hypotheses for the mode-of-actions (MOAs) of 45 TCM therapeutic action (sub)classes from in silico target prediction algorithms, whose target was later annotated with Kyoto Encyclopedia of Genes and Genomes pathway, and to discover the relationship between them by generating a hierarchical clustering.
The results of 10,749 TCM compounds showed 183 enriched targets and 99 enriched pathways from Estimation Score ≤ 0 and ≥ 5% of compounds/targets in a (sub)class.
The MOA of a (sub)class was established from supporting literature.
Overall, the most frequent top three enriched targets/pathways were immune-related targets such as tyrosine-protein phosphatase nonreceptor type 2 (PTPN2) and digestive system such as mineral absorption.
We found two major protein families, G-protein coupled receptor (GPCR), and protein kinase family contributed to the diversity of the bioactivity space, while digestive system was consistently annotated pathway motif, which agreed with the important treatment principle of TCM, “the foundation of acquired constitution” that includes spleen and stomach.
In short, the TCM (sub)classes, in many cases share similar targets/pathways despite having different indications.
American Psychological Association (APA)
Mohamad Zobir, Siti Zuraidah& Mohd Fauzi, Fazlin& Liggi, Sonia& Drakakis, Georgios& Fu, Xianjun& Fan, Tai-Ping…[et al.]. 2016. Global Mapping of Traditional Chinese Medicine into Bioactivity Space and Pathways Annotation Improves Mechanistic Understanding and Discovers Relationships between Therapeutic Action (Sub)classes. Evidence-Based Complementary and Alternative Medicine،Vol. 2016, no. 2016, pp.1-25.
https://search.emarefa.net/detail/BIM-1103971
Modern Language Association (MLA)
Mohamad Zobir, Siti Zuraidah…[et al.]. Global Mapping of Traditional Chinese Medicine into Bioactivity Space and Pathways Annotation Improves Mechanistic Understanding and Discovers Relationships between Therapeutic Action (Sub)classes. Evidence-Based Complementary and Alternative Medicine No. 2016 (2016), pp.1-25.
https://search.emarefa.net/detail/BIM-1103971
American Medical Association (AMA)
Mohamad Zobir, Siti Zuraidah& Mohd Fauzi, Fazlin& Liggi, Sonia& Drakakis, Georgios& Fu, Xianjun& Fan, Tai-Ping…[et al.]. Global Mapping of Traditional Chinese Medicine into Bioactivity Space and Pathways Annotation Improves Mechanistic Understanding and Discovers Relationships between Therapeutic Action (Sub)classes. Evidence-Based Complementary and Alternative Medicine. 2016. Vol. 2016, no. 2016, pp.1-25.
https://search.emarefa.net/detail/BIM-1103971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1103971