| URL: | http://protein.cau.edu.cn/ppira |
| Full name: | Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis thaliana |
| Description: | For any phytopathogenic, protein-protein interactions (PPIs) play very important roles in infecting hosts. PPIs between R. solancearum and A. thaliana were constructed by two bioinformatic methods, the interolog and domain-based methods. The predicted PPIs were compiled as a PPI network called PPIRA, which contains 3074 PPIs between R. solancearum and A. thaliana. Users can query a R. solancearum or A. thaliana protein and a table containing potential interacting partners will be returned. |
| Year founded: | 2012 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | China Agricultural University |
| Address: | State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, 100193, China. |
| City: | Beijing |
| Province/State: | Beijing |
| Country/Region: | China |
| Contact name (PI/Team): | Zhigang Li |
| Contact email (PI/Helpdesk): | lzg0063@126.com |
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Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis thaliana. [PMID: 21786137]
Ralstonia solanacearum is a devastating bacterial pathogen that has an unusually wide host range. R. solanacearum, together with Arabidopsis thaliana, 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 R. solanacearum and 1,442 A. thaliana proteins. Interestingly, we found that the potential pathogen-targeted proteins are more important in the A. thaliana 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. |