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Prediction of Drugs Target Groups Based on ChEBI Ontology
المؤلفون المشاركون
Jiang, Yang
Gao, Yu-Fei
Zhang, Tao
Feng, Kai-Yan
Huang, Guohua
Chen, Lei
Li, Hai-Peng
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-11-20
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1030094
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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