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Chinese Journal of Applied and Environmental Biology
Vol.
18, No. 1, 2012; Pages: 139 - 146

Analysis and Prediction of Protein Interaction Network of Ralstonia solanacearum

JIANG Chunlei; ZHAO rui; L Lingfeng; QIAO Dairong; CAO Yi

Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, College of Life Sciences, Sichuan University, Chengdu 610064, China.

Abstract

Bacterial wilt caused by Ralstonia solanacearum is a worldwide soil-borne bacterial diseases. The complete sequence of Ralstonia solanacearum genome make it possible to analysis the protein-protein interaction networks of R. solanacearum from the proteomic. In this paper, Naïve Bayes model was used to integrate seven kinds of methods (Phylogenetic profile, gene neighbor method, gene fusion, operon method, interolog, microarray, domain interactions) and predict protein interactions of R. solanacearum. The reliable networks were obtained based on threshold determined by Youden’s index. The secretion system and signal transduction system were analyzed and possible drug targets (cyaB, pilD, Fli, Rsp1526, VsrA, VsrB, PilH) were suggested. The function of proteins without comments in COG database was inferred according to protein-protein interaction. A completely free online database support was provided, including convenient queries and download for R. solanacearum protein interaction and function data (http://www.scbmp.org.cn/rsoppi.php).

Keywords: Ralstonia solanacearum; protein interaction networks; protein function; proteomic; bacterial wilt; Na; ve Bayes model


 

 

 
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