dTGS: Method for Effective Components Identification from Traditional Chinese Medicine Formula and Mechanism Analysis
Author(s) -
Ji Luo,
Yinglong Ren,
Hao Gu,
Yi Wu,
Yun Wang
Publication year - 2013
Publication title -
evidence-based complementary and alternative medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.552
H-Index - 90
eISSN - 1741-4288
pISSN - 1741-427X
DOI - 10.1155/2013/840427
Subject(s) - component (thermodynamics) , traditional chinese medicine , mechanism (biology) , disease , identification (biology) , wasting , grammar , computer science , type 2 diabetes mellitus , computational biology , medicine , traditional medicine , diabetes mellitus , natural language processing , psychology , linguistics , biology , alternative medicine , endocrinology , epistemology , physics , pathology , philosophy , botany , thermodynamics
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.
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