iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking
Joint Authors
Chou, Kuo-Chen
Min, Jian-Liang
Xiao, Xuan
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Min, Jian-Liang& Xiao, Xuan& Chou, Kuo-Chen. 2013. iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking. BioMed Research International،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1004906
Modern Language Association (MLA)
Min, Jian-Liang…[et al.]. iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking. BioMed Research International No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1004906
American Medical Association (AMA)
Min, Jian-Liang& Xiao, Xuan& Chou, Kuo-Chen. iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1004906
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1004906