title: Analysis and identification of toxin targets by topological properties in protein-protein interaction network.
abstract: Proteins do not exert their function in isolation of one another, but interact together in protein-protein interaction (PPI) networks. Analysis of topological properties of proteins in the PPI network is very helpful to understand the function of proteins. However, until recently, no one has ever undertaken to investigate toxin targets by topological properties. In this study, for the first time, 12 topological properties are used to investigate the characteristics of toxin targets in the PPI network. Most of the topological properties are found to be statistically discriminative between toxin targets and other proteins, and toxin targets tend to play more important roles in the PPI network. In addition, based on the topological properties and the sequence information, support vector machine (SVM) is used to predict toxin targets. The results obtained by the jackknife test and 10-fold cross validation are encouraging, indicating that SVM is a useful tool for predicting toxin targets, or at least can play complementary roles in relevant areas.
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Lei
authors: L
authors: Yang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Jizhe
authors: J
authors: Wang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Huiping
authors: H
authors: Wang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
authors: Yingli
authors: Y
authors: Lv
authors: The National Research Center for Animal Transgenic Biotechnology, Inner Mongolia University, Hohhot, 010021, PR China.
authors: Yongchun
authors: Y
authors: Zuo
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China. Electronic address: bioccjw@yahoo.com.
authors: Wei
authors: W
authors: Jiang
mesh_terms: D000818:Animals; D030562:Databases, Protein; D006801:Humans; D060066:Protein Interaction Maps; D012372:ROC Curve; D060388:Support Vector Machine; D014118:Toxins, Biological / Q000737:chemistry* / Q000378:metabolism*
chemical_list: D014118:Toxins, Biological
keywords: Sequence information; Statistical test; Support vector machine; Topological features