Prediction of multi-target of Aconiti Lateralis Radix Praeparata and its network pharmacology.
- Author:
Leihong WU
1
;
Xiumei GAO
;
Linli WANG
;
Qian LIU
;
Xiaohui FAN
;
Yi WANG
;
Yiyu CHENG
Author Information
- Publication Type:Journal Article
- MeSH: Aconitum; chemistry; Animals; Drug Interactions; Drugs, Chinese Herbal; analysis; pharmacology; Humans
- From: China Journal of Chinese Materia Medica 2011;36(21):2907-2910
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo predict multi-targets by multi-compounds found in Aconiti Lateralis Radix Praeparata and construct the corresponding multi-compound-multi-target network.
METHODBased 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.
RESULTThe 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.
CONCLUSIONThe proposed approach can be used to find potential targets of Chinese medicine.