Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis thaliana

is a devastating bacterial pathogen that has an unusually wide host range. , together with , has become a model system for studying the molecular basis of plant-pathogen interactions. Protein-protein interactions (PPIs) play a critical role in the infection process, and some PPIs can initiate a plant defense response. However, experimental investigations have rarely addressed such PPIs. Using two computational methods, the interolog and the domain-based methods, we predicted 3,074 potential PPIs between 119 and 1,442 proteins. Interestingly, we found that the potential pathogen-targeted proteins are more important in the PPI network. To facilitate further studies, all predicted PPI data were compiled into a database server called PPIRA (http://protein.cau.edu.cn/ppira/). We hope that our work will provide new insights for future research addressing the pathogenesis of R. solanacearum.