Document Details

Document Type : Article In Journal 
Document Title :
Predicting drugs side effects based on chemical-chemical interactions and protein-chemical interactions
Predicting drugs side effects based on chemical-chemical interactions and protein-chemical interactions
 
Document Language : English 
Abstract : A drug side effect is an undesirable effect which occurs in addition to the intended therapeutic effect of the drug. The unexpected side effects that many patients suffer from are the major causes of large-scale drug withdrawal. To address the problem, it is highly demanded by pharmaceutical industries to develop computational methods for predicting the side effects of drugs. In this study, a novel computational method was developed to predict the side effects of drug compounds by hybridizing the chemical-chemical and protein-chemical interactions. Compared to most of the previous works, our method can rank the potential side effects for any query drug according to their predicted level of risk. A training dataset and test datasets were constructed from the benchmark dataset that contains 835 drug compounds to evaluate the method. By a jackknife test on the training dataset, the 1st order prediction accuracy was 86.30%, while it was 89.16% on the test dataset. It is expected that the new method may become a useful tool for drug design, and that the findings obtained by hybridizing various interactions in a network system may provide useful insights for conducting in-depth pharmacological research as well, particularly at the level of systems biomedicine. 
ISSN : 2314-6133 
Journal Name : BioMed research international 
Volume : 2013 
Issue Number : 1 
Publishing Year : 1434 AH
2013 AD 
Article Type : Article 
Added Date : Monday, April 11, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Lei ChenChen, Lei Researcher  
Tao HuangHuang, Tao Researcher  
Jian ZhangZhang, Jian Researcher  
Ming-Yue ZhengZheng, Ming-Yue Researcher  
Kai-Yan FengFeng, Kai-Yan Researcher  
Yu-Dong CaiCai, Yu-Dong Investigator  
Kuo-Chen ChouChou, Kuo-Chen Investigator  

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