Research on Effective Component Group Identification from Traditional Chinese Medicine Formula based on Entity Grammar Systems
10.11842/wst.2013.03.024
- VernacularTitle:基于实体语法系统的中药方剂有效成分群辨识方法研究*
- Author:
Ji LUO
;
Yun WANG
;
Yanjiang QIAO
- Publication Type:Journal Article
- Keywords:
Entity grammar systems;
traditional Chinese medicine formula;
effective component group
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2013;(3):482-488
- CountryChina
- Language:Chinese
-
Abstract:
This study was aimed to explain the relationship between chemical component and therapy objective and to identify effective component group (ECG). The objective of this study is to build a new method to identify the ECG. Traditional Chinese medicine (TCM) formula and one of its treated diseases were selected as the re-search object. The entity grammar systems (EGS) were used as the theoretical framework. A grammatical method for ECG identification was constructed. The component-disease relationship was inferred and the ECG was identi-fied with these inference results. In this paper, 16 compounds which act to 12 proteins in Type 1 diabetes melli-tus (T1D) disease network were identified from Bai-Hu Tang plus Xiao-Ke Fang and 9 chemical compounds were determined as the candidate effective components group. The results indicated that this method can be used to identify ECG and provide a new way to elucidate the molecular mechanism of TCM formula.