Construction of automatic elucidation platform for mechanism of traditional Chinese medicine.
- Author:
Bai-xia ZHANG
;
Si-jun LUO
;
Jing YAN
;
Hao GU
;
Ji LUO
;
Yan-ling ZHANG
;
Ou TAO
;
Yun WANG
- Publication Type:Journal Article
- MeSH:
Animals;
Automation;
instrumentation;
methods;
Databases, Factual;
Drugs, Chinese Herbal;
chemistry;
pharmacology;
Gene Regulatory Networks;
Humans;
Medicine, Chinese Traditional;
Plants, Medicinal;
chemistry
- From:
China Journal of Chinese Materia Medica
2015;40(19):3697-3702
- CountryChina
- Language:Chinese
-
Abstract:
Aim at the two problems in the field of traditional Chinese medicine (TCM) mechanism elucidation, one is the lack of detailed biological processes information, next is the low efficient in constructing network models, we constructed an auxiliary elucidation system for the TCM mechanism and realize the automatic establishment of biological network model. This study used the Entity Grammar Systems (EGS) as the theoretical framework, integrated the data of formulae, herbs, chemical components, targets of component, biological reactions, signaling pathways and disease related proteins, established the formal models, wrote the reasoning engine, constructed the auxiliary elucidation system for the TCM mechanism elucidation. The platform provides an automatic modeling method for biological network model of TCM mechanism. It would be benefit to perform the in-depth research on TCM theory of natures and combination and provides the scientific references for R&D of TCM.
