Prediction of drug-target interaction based on fingerprint similarity / 中国中药杂志
China Journal of Chinese Materia Medica
;
(24): 3578-3583, 2017.
Article
in Chinese
| WPRIM
| ID: wpr-335816
ABSTRACT
Drugs play the pharmacological effects by combining with target proteins. Identification of drug-target interactions is important for discovering new functions of drugs. In this paper, the target fingerprints based on molecular substructure and the drug-target similarity based on fingerprints are proposed to a random forest-based classification method, in order to identify the drug-target interactions. Experiments on enzymes, ion channels, G protein-coupled receptors and nuclear receptors proved the effectiveness of the proposed method. In addition, the proposed method is applied to predict the interactions between ingredients and targets of traditional Chinese medicines.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
Chinese
Journal:
China Journal of Chinese Materia Medica
Year:
2017
Type:
Article
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