茄科雷尔氏菌蛋白质相互作用网络预测及分析

细菌性青枯病是由茄科雷尔氏菌(Ralstonia solanacearum)引起的一种世界范围的细菌性土传病害.该细菌基因组序列的完全测序,使得从蛋白质组角度来分析其蛋白质相互作用网络成为可能.本文通过朴素贝叶斯模型整合系统发生谱法、基因邻近法、基因融合法、操纵子法、同源映射法、微阵列法、域相互作用法等7种方法,并根据约豋指数确定的阙值,预测了可信的茄科雷尔氏菌的蛋白质相互作用网络.对网络中的分泌子网络和信号转导进行了分析,提出可能的药物作用靶点(cyaB、pilD、Fli、Rsp1526、VsrA、VsrB、PilH).对于未注释的蛋白依据蛋白相互作用推测了部分蛋白质的功能.本文也提供了完全免费的在线数据库支持,提供了方便的茄科雷尔氏菌的蛋白相互作用的查询及相互作用数据和推测的蛋白质功能数据的查询和下载(http://www.scbmp.org.cn/rsoppi.php).

Analysis and Prediction of Protein Interaction Network of Ralstonia solanacearum

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,Na?ve 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).