[Prediction of multi-target of Aconiti Lateralis Radix Praeparata and its network pharmacology].

Abstract

OBJECTIVE To predict multi-targets by multi-compounds found in Aconiti Lateralis Radix Praeparata and construct the corresponding multi-compound-multi-target network. METHOD Based on drug-target relationships of FDA approved drugs, a model for predicting targets was established by random forest algorithm. This model was then applied to predict the targets of Aconiti Lateralis Radix Praeparata and construct the multi-compound-multi-target network. RESULT The predicted targets of 22 compounds of Aconiti Lateralis Radix Praeparata are validated by literature. Each compound in the established network was correlated with 16. 3 targets on average, while each target was correlated with 4. 77 compounds on average, which reflects the "multi-compound and multi-target" characteristic of Chinese medicine. CONCLUSION The proposed approach can be used to find potential targets of Chinese medicine.

Cite this paper

@article{Wu2011PredictionOM, title={[Prediction of multi-target of Aconiti Lateralis Radix Praeparata and its network pharmacology].}, author={Leihong Wu and Xiumei Gao and Linli Wang and Qian Liu and Xiaohui Fan and Yi Wang and Yiyu Cheng}, journal={Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica}, year={2011}, volume={36 21}, pages={2907-10} }