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1.
China Journal of Chinese Materia Medica ; (24): 3010-3014, 2019.
Article in Chinese | WPRIM | ID: wpr-773196

ABSTRACT

The Dao-di herbs are recognized as high-quality Chinese medicines with good medicinal properties. The factors of their growth environment affects the quality of Dao-di herbs. Choosing the right place to produce,rationally planting appropriate local medicinal materials,and improving the quality and yield of authentic medicinal materials are prerequisites for ensuring the steady development of Chinese medicine industry. In this paper,a knowledge model of the relationship between organic medicinal materials and growth environment factors was constructed by integrating the dataset of environmental factors of medicinal materials,and a knowledge base was constructed to provide a decision for the study of suitable medicinal materials under different environmental conditions. Based on this,it is expected to provide a platform for further research on the relationship between the medicinal properties of medicinal herbs and environmental factors.


Subject(s)
Asteraceae , Databases, Factual , Drugs, Chinese Herbal , Ecosystem , Medicine, Chinese Traditional , Plants, Medicinal
2.
World Science and Technology-Modernization of Traditional Chinese Medicine ; (12): 482-488, 2013.
Article in Chinese | WPRIM | ID: wpr-434290

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.

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