Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
Chinese Journal of Natural Medicines (English Ed.) ; (6): 436-441, 2017.
Article in English | WPRIM | ID: wpr-812097

ABSTRACT

In the present study, 28 Chinese medicinal herbs belonging to traditional Chinese medicine (TCM) for the treatment of type 2 diabetes were selected to explore the application of network pharmacology in developing new Chinese herbal medicine formulae for the treatment of type 2 diabetes mellitus (T2DM). These herbs have the highest appearance rate in the literature, and their compounds are listed. The human protein-protein interaction network and the T2DM disease protein interaction network were constructed. Then, the related algorithm for network topology was used to perform interventions on the interaction network of disease proteins and normal human proteins to test different Chinese herbal medicine compound combinations, according to the information on the interaction of compounds-targets in two databases, namely TarNet and the Medicinal Plants Database. Results of the intervention scores indicate that the method proposed in this study can provide new effective combinations of Chinese herbal medicines for T2DM. Network pharmacology can effectively promote the modernization and development of TCM.


Subject(s)
Humans , Diabetes Mellitus, Type 2 , Drug Therapy , Drug Design , Drugs, Chinese Herbal , Therapeutic Uses , Medicine, Chinese Traditional , Protein Interaction Maps
2.
Acta Pharmaceutica Sinica ; (12): 1512-1519, 2014.
Article in Chinese | WPRIM | ID: wpr-299104

ABSTRACT

With the advanced development of information technology, there is a huge impact on various industries for the arrival of big data. In the biomedical field, innovative genome sequencing technology enables low-cost, high-throughput, and high-speed to become a reality, which leads to an explosive growth in data and also appeared in an urgent need to process those massive biological information. High performance computing (HPC) along with effective methods is one of the best ways to deal with the problem of big data in biomedical field which could serve the biomedical development best. We discussed the issues faced in biomedical big data processing and concluded that the bioinformatics is an indispensable component of biomedical technologies.


Subject(s)
Humans , Biomedical Research , Computational Biology , Computing Methodologies
SELECTION OF CITATIONS
SEARCH DETAIL