Abstract
Because of the complexity of the components in Traditional Chinese Medicine formula (TCM formula), it is still a challenge to identify its effective components, to elucidate the mechanism of the components, and to discover the relationship between components and therapy objectives. In this paper, a method called directed TCM grammar systems (dTGS) for effective component identification was proposed using entity grammar systems (EGS) as the theoretical framework. The component-disease relationship of a TCM formula (i.e., Bai-Hu decoction plus Wasting-Thirsting formula, BHDWT) and one disease (i.e., type 2 diabetes mellitus) treated with it was studied, and the effective component groups (ECGs) were identified. 19 compounds were found acting on 20 proteins in type 2 diabetes mellitus (T2D) disease network, and 15 compounds were determined as the candidate effective components. Results indicated that this method can be used to identify the effective components and provide an innovative way to elucidate the molecular mechanism of TCM formulas.
| Original language | English (US) |
|---|---|
| Article number | 840427 |
| Journal | Evidence-based Complementary and Alternative Medicine |
| Volume | 2013 |
| DOIs | |
| State | Published - Dec 1 2013 |
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All Science Journal Classification (ASJC) codes
- Complementary and alternative medicine
Cite this
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DTGS : Method for effective components identification from Traditional chinese medicine formula and mechanism analysis. / Luo, Ji; Ren, Yinglong; Gu, Hao; Wu, Yi; Wang, Yun.
In: Evidence-based Complementary and Alternative Medicine, Vol. 2013, 840427, 01.12.2013.Research output: Contribution to journal › Article
TY - JOUR
T1 - DTGS
T2 - Method for effective components identification from Traditional chinese medicine formula and mechanism analysis
AU - Luo, Ji
AU - Ren, Yinglong
AU - Gu, Hao
AU - Wu, Yi
AU - Wang, Yun
PY - 2013/12/1
Y1 - 2013/12/1
N2 - Because of the complexity of the components in Traditional Chinese Medicine formula (TCM formula), it is still a challenge to identify its effective components, to elucidate the mechanism of the components, and to discover the relationship between components and therapy objectives. In this paper, a method called directed TCM grammar systems (dTGS) for effective component identification was proposed using entity grammar systems (EGS) as the theoretical framework. The component-disease relationship of a TCM formula (i.e., Bai-Hu decoction plus Wasting-Thirsting formula, BHDWT) and one disease (i.e., type 2 diabetes mellitus) treated with it was studied, and the effective component groups (ECGs) were identified. 19 compounds were found acting on 20 proteins in type 2 diabetes mellitus (T2D) disease network, and 15 compounds were determined as the candidate effective components. Results indicated that this method can be used to identify the effective components and provide an innovative way to elucidate the molecular mechanism of TCM formulas.
AB - Because of the complexity of the components in Traditional Chinese Medicine formula (TCM formula), it is still a challenge to identify its effective components, to elucidate the mechanism of the components, and to discover the relationship between components and therapy objectives. In this paper, a method called directed TCM grammar systems (dTGS) for effective component identification was proposed using entity grammar systems (EGS) as the theoretical framework. The component-disease relationship of a TCM formula (i.e., Bai-Hu decoction plus Wasting-Thirsting formula, BHDWT) and one disease (i.e., type 2 diabetes mellitus) treated with it was studied, and the effective component groups (ECGs) were identified. 19 compounds were found acting on 20 proteins in type 2 diabetes mellitus (T2D) disease network, and 15 compounds were determined as the candidate effective components. Results indicated that this method can be used to identify the effective components and provide an innovative way to elucidate the molecular mechanism of TCM formulas.
UR - http://www.scopus.com/inward/record.url?scp=84893803697&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893803697&partnerID=8YFLogxK
U2 - 10.1155/2013/840427
DO - 10.1155/2013/840427
M3 - Article
VL - 2013
JO - Evidence-based Complementary and Alternative Medicine
JF - Evidence-based Complementary and Alternative Medicine
SN - 1741-427X
M1 - 840427
ER -