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Prediction of Drugs Target Groups Based on ChEBI Ontology
Joint Authors
Jiang, Yang
Gao, Yu-Fei
Zhang, Tao
Feng, Kai-Yan
Huang, Guohua
Chen, Lei
Li, Hai-Peng
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-20
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Most drugs have beneficial as well as adverse effects and exert their biological functions by adjusting and altering the functions of their target proteins.
Thus, knowledge of drugs target proteins is essential for the improvement of therapeutic effects and mitigation of undesirable side effects.
In the study, we proposed a novel prediction method based on drug/compound ontology information extracted from ChEBI to identify drugs target groups from which the kind of functions of a drug may be deduced.
By collecting data in KEGG, a benchmark dataset consisting of 876 drugs, categorized into four target groups, was constructed.
To evaluate the method more thoroughly, the benchmark dataset was divided into a training dataset and an independent test dataset.
It is observed by jackknife test that the overall prediction accuracy on the training dataset was 83.12%, while it was 87.50% on the test dataset—the predictor exhibited an excellent generalization.
The good performance of the method indicates that the ontology information of the drugs contains rich information about their target groups, and the study may become an inspiration to solve the problems of this sort and bridge the gap between ChEBI ontology and drugs target groups.
American Psychological Association (APA)
Gao, Yu-Fei& Chen, Lei& Huang, Guohua& Zhang, Tao& Feng, Kai-Yan& Li, Hai-Peng…[et al.]. 2013. Prediction of Drugs Target Groups Based on ChEBI Ontology. BioMed Research International،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1030094
Modern Language Association (MLA)
Gao, Yu-Fei…[et al.]. Prediction of Drugs Target Groups Based on ChEBI Ontology. BioMed Research International No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1030094
American Medical Association (AMA)
Gao, Yu-Fei& Chen, Lei& Huang, Guohua& Zhang, Tao& Feng, Kai-Yan& Li, Hai-Peng…[et al.]. Prediction of Drugs Target Groups Based on ChEBI Ontology. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1030094
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1030094