Document Details

Document Type : Article In Journal 
Document Title :
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
 
Document Language : English 
Abstract : A cell contains thousands of proteins. Many important functions of cell are carried out through the proteins therein. Proteins rarely function alone. Most of their functions essential to life are associated with various types of protein-protein interactions (PPIs). Therefore, knowledge of PPIs is fundamental for both basic research and drug development. With the avalanche of proteins sequences generated in the postgenomic age, it is highly desired to develop computational methods for timely acquiring this kind of knowledge. Here, a new predictor, called "iPPI-Emsl", is developed. In the predictor, a protein sample is formulated by incorporating the following two types of information into the general form of PseAAC (pseudo amino acid composition): (1) the physicochemical properties derived from the constituent amino acids of a protein; and (2) the wavelet transforms derived from the numerical series along a protein chain. The operation engine to run the predictor is an ensemble classifier formed by fusing seven individual random forest engines via a voting system. It is demonstrated with the benchmark dataset from Saccharomyces cerevisiae as well as the dataset from Helicobacter pylori that the new predictor achieves remarkably higher success rates than any of the existing predictors in this area. The new predictor׳ web-server has been established at http://www.jci-bioinfo.cn/iPPI-Esml. For the convenience of most experimental scientists, we have further provided a step-by-step guide, by which users can easily get their desired results without the need to follow the complicated mathematics involved during its development. 
ISSN : 1095-8541 
Journal Name : J Theor Biol 
Volume : 377 
Issue Number : 1 
Publishing Year : 1436 AH
2015 AD 
Article Type : Article 
Added Date : Thursday, April 21, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Jianhua JiaJia, Jianhua Investigator jjh163yx@163.com
Zi LiuLiu, Zi Researcher liuzi189836@163.com
Xuan XiaoXiao, Xuan Researcher xxiao@gordonlifescience.org
Bingxiang LiuLiu, Bingxiang Researcher lbx1966@163.com
Kuo-Chen ChouChou, Kuo-Chen Researcher kcchou@gordonlifescience.org

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