Prediction of Enzyme’s Family Based on Protein-Protein Interaction Network

Author(s): Bing Niu , Yin Lu , Jing Lu , Fuxue Chen , Tonghui Zhao , Zhanmin Liu , Tao Huang , Yuhui Zhang .

Journal Name: Current Bioinformatics

Volume 10 , Issue 1 , 2015

Become EABM
Become Reviewer

Graphical Abstract:


Abstract:

Classification for enzymes is essential for understanding the functions of organisms because it is directly related to the knowledge about which specific target it acts on, as well as to its catalytic process. Hence, it is crucial to use an accurate and robust approach to correctly map the enzyme in specific enzyme family class that it is belong to. In this research, a protein-protein interaction (PPI) network-based method was developed for predicting the families of enzyme. As a demonstration, the overall success rate by the jackknife test in identifying enzyme’s family class was 62.86%. The promising results imply that the predictor as presented in this paper may become a useful tool for studying enzymes.

Keywords: Amino acid frequency, enzyme family classes, jackknife test, PPI network-based method.

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 10
ISSUE: 1
Year: 2015
Page: [16 - 21]
Pages: 6
DOI: 10.2174/157489361001150309122016

Article Metrics

PDF: 43
HTML: 1
EPUB: 1