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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
- Source :
- Evidence-Based Complementary and Alternative Medicine, Vol 2016 (2016), Evidence-based Complementary and Alternative Medicine : eCAM
- Publication Year :
- 2016
- Publisher :
- Hindawi Publishing Corporation, 2016.
-
Abstract
- 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 fromin silicotarget 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.
- Subjects :
- 0301 basic medicine
Biomedical
Therapeutic action
Protein family
Article Subject
In silico
lcsh:Other systems of medicine
Traditional Chinese medicine
Computational biology
Biology
lcsh:RZ201-999
0601 Biochemistry and Cell Biology
Bioinformatics
Hierarchical clustering
03 medical and health sciences
Annotation
Prediction algorithms
030104 developmental biology
Basic Science
Complementary and alternative medicine
KEGG
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 1741427X
- Database :
- OpenAIRE
- Journal :
- Evidence-Based Complementary and Alternative Medicine
- Accession number :
- edsair.doi.dedup.....aa4601b429c5adad500dbac732ba4b02
- Full Text :
- https://doi.org/10.1155/2016/2106465