Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis thaliana
Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis thaliana
复制标题
青枯雷尔斯顿菌和拟南芥之间蛋白质-蛋白质相互作用的预测
DOI：
10.1007/s00726-011-0978-z
复制
发表时间：
2012-06-01
期刊：
影响因子：
3.5
通讯作者：
Peng, You-Liang
中科院分区：
文献类型：
--
作者：
Li, Zhi-Gang;He, Fei;Peng, You-Liang
是一种毁灭性的细菌病原体，其宿主范围异常广泛。，已成为研究植物与病原体相互作用分子基础的模型系统。蛋白-蛋白相互作用（PPIs）在侵染过程中起着关键作用，一些PPIs可以引发植物的防御反应。然而，实验研究很少涉及此类ppi。使用两种计算方法，interolog和基于结构域的方法，我们预测了119到1442个蛋白质之间的3074个潜在的PPIs。有趣的是，我们发现潜在的病原体靶向蛋白在PPI网络中更重要。为了便于进一步的研究，所有预测的PPI数据都被编译到一个名为PPIRA的数据库服务器中（http://protein.cau.edu.cn/ppira/）。我们希望我们的工作能够为进一步研究茄青霉的发病机制提供新的见解。
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.