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Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways
المؤلفون المشاركون
Zhang, Jian
Zheng, Mingyue
Feng, Kai-Yan
Chen, Lei
Cai, Yu-Dong
Li, Bi-Qing
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-09-05
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Drug combinatorial therapy could be more effective in treating some complex diseases than single agents due to better efficacy and reduced side effects.
Although some drug combinations are being used, their underlying molecular mechanisms are still poorly understood.
Therefore, it is of great interest to deduce a novel drug combination by their molecular mechanisms in a robust and rigorous way.
This paper attempts to predict effective drug combinations by a combined consideration of: (1) chemical interaction between drugs, (2) protein interactions between drugs’ targets, and (3) target enrichment of KEGG pathways.
A benchmark dataset was constructed, consisting of 121 confirmed effective combinations and 605 random combinations.
Each drug combination was represented by 465 features derived from the aforementioned three properties.
Some feature selection techniques, including Minimum Redundancy Maximum Relevance and Incremental Feature Selection, were adopted to extract the key features.
Random forest model was built with its performance evaluated by 5-fold cross-validation.
As a result, 55 key features providing the best prediction result were selected.
These important features may help to gain insights into the mechanisms of drug combinations, and the proposed prediction model could become a useful tool for screening possible drug combinations.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Lei& Li, Bi-Qing& Zheng, Mingyue& Zhang, Jian& Feng, Kai-Yan& Cai, Yu-Dong. 2013. Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways. BioMed Research International،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1030844
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Lei…[et al.]. Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways. BioMed Research International No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1030844
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Lei& Li, Bi-Qing& Zheng, Mingyue& Zhang, Jian& Feng, Kai-Yan& Cai, Yu-Dong. Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1030844
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1030844
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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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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