[Prediction of multi-target of Aconiti Lateralis Radix Praeparata and its network pharmacology].
OBJECTIVE
To predict multi-targets by multi-compounds found in Aconiti Lateralis Radix Praeparata and construct the corresponding multi-compound-multi-target network.


METHODS
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.


RESULTS
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.


CONCLUSIONS
The proposed approach can be used to find potential targets of Chinese medicine.
Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China.
Leihong
L
Wu
Xiumei
X
Gao
Linli
L
Wang
Qian
Q
Liu
Xiaohui
X
Fan
Yi
Y
Wang
Yiyu
Y
Cheng
D031841:Aconitum / Q000737:chemistry*; D000818:Animals; D004347:Drug Interactions; D004365:Drugs, Chinese Herbal / Q000032:analysis / Q000494:pharmacology*; D006801:Humans
D004365:Drugs, Chinese Herbal