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

Medicine

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