Document Details

Document Type : Article In Journal 
Document Title :
iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking
iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking
 
Document Language : English 
Abstract : With the features of extremely high selectivity and efficiency in catalyzing almost all the chemical reactions in cells, enzymes play vitally important roles for the life of an organism and hence have become frequent targets for drug design. An essential step in developing drugs by targeting enzymes is to identify drug-enzyme interactions in cells. It is both time-consuming and costly to do this purely by means of experimental techniques alone. Although some computational methods were developed in this regard based on the knowledge of the three-dimensional structure of enzyme, unfortunately their usage is quite limited because three-dimensional structures of many enzymes are still unknown. Here, we reported a sequence-based predictor, called "iEzy-Drug," in which each drug compound was formulated by a molecular fingerprint with 258 feature components, each enzyme by the Chou's pseudo amino acid composition generated via incorporating sequential evolution information and physicochemical features derived from its sequence, and the prediction engine was operated by the fuzzy K-nearest neighbor algorithm. The overall success rate achieved by iEzy-Drug via rigorous cross-validations was about 91%. Moreover, to maximize the convenience for the majority of experimental scientists, a user-friendly web server was established, by which users can easily obtain their desired results. 
ISSN : 2314-6133 
Journal Name : BioMed research international 
Volume : 2013 
Issue Number : 1 
Publishing Year : 1434 AH
2013 AD 
Article Type : Article 
Added Date : Sunday, April 3, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Jian-Liang MinMin, Jian-Liang Investigator  
Xuan XiaoXiao, Xuan Researcher  
Kuo-Chen ChouChou, Kuo-Chen Researcher  

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