Wang Tengjiao, Feng Yanghe, Wang Qi
Second Military Medical University, Shanghai, China.
Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China.
Comput Intell Neurosci. 2017;2017:7024516. doi: 10.1155/2017/7024516. Epub 2017 Apr 2.
Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit the understanding of disease mechanisms and promise to facilitate the therapeutic interventions. Therefore, it is important to reveal the signaling relationship from one protein to another in terms of activation and inhibition. In this study, we propose a new measurement to characterize the regulation relationship of a PPI pair. By utilizing both Gene Ontology (GO) functional annotation and protein domain information, we developed a tool called Prediction of Activation/Inhibition Regulation Signaling Pathway (PAIRS) that takes protein interaction pairs as input and gives both known and predicted result of the human protein regulation relationship in terms of activation and inhibition. It helps to give prognostic regulation information for further signaling pathway reconstruction.
揭示蛋白质-蛋白质相互作用(PPI)中的信号传导架构无疑有助于理解疾病机制,并有望促进治疗干预。因此,从激活和抑制的角度揭示一种蛋白质与另一种蛋白质之间的信号传导关系非常重要。在本研究中,我们提出了一种新的测量方法来表征PPI对的调控关系。通过利用基因本体(GO)功能注释和蛋白质结构域信息,我们开发了一种名为激活/抑制调控信号通路预测(PAIRS)的工具,该工具以蛋白质相互作用对为输入,并给出人类蛋白质调控关系在激活和抑制方面的已知和预测结果。它有助于为进一步的信号通路重建提供预后调控信息。