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IDDI: integrated domain-domain interaction and protein interaction analysis system

机译:IDDI:集成的域-域相互作用和蛋白质相互作用分析系统

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Background Deciphering protein-protein interaction (PPI) in domain level enriches valuable information about binding mechanism and functional role of interacting proteins. The 3D structures of complex proteins are reliable source of domain-domain interaction (DDI) but the number of proven structures is very limited. Several resources for the computationally predicted DDI have been generated but they are scattered in various places and their prediction show erratic performances. A well-organized PPI and DDI analysis system integrating these data with fair scoring system is necessary. Method We integrated three structure-based DDI datasets and twenty computationally predicted DDI datasets and constructed an interaction analysis system, named IDDI, which enables to browse protein and domain interactions with their relationships. To integrate heterogeneous DDI information, a novel scoring scheme is introduced to determine the reliability of DDI by considering the prediction scores of each DDI and the confidence levels of each prediction method in the datasets, and independencies between predicted datasets. In addition, we connected this DDI information to the comprehensive PPI information and developed a unified interface for the interaction analysis exploring interaction networks at both protein and domain level. Result IDDI provides 204,705 DDIs among total 7,351 Pfam domains in the current version. The result presents that total number of DDIs is increased eight times more than that of previous studies. Due to the increment of data, 50.4% of PPIs could be correlated with DDIs which is more than twice of previous resources. Newly designed scoring scheme outperformed the previous system in its accuracy too. User interface of IDDI system provides interactive investigation of proteins and domains in interactions with interconnected way. A specific example is presented to show the efficiency of the systems to acquire the comprehensive information of target protein with PPI and DDI relationships. IDDI is freely available at http://pcode.kaist.ac.kr/iddi/ .
机译:背景技术在域水平上解密蛋白质-蛋白质相互作用(PPI)丰富了有关相互作用蛋白质的结合机制和功能作用的宝贵信息。复杂蛋白质的3D结构是域-域相互作用(DDI)的可靠来源,但已证明结构的数量非常有限。已经生成了一些用于计算预测的DDI的资源,但它们分散在各个地方,并且其预测显示出不稳定的性能。必须有一个组织良好的PPI和DDI分析系统,将这些数据与合理的评分系统相结合。方法我们整合了三个基于结构的DDI数据集和二十个经过计算预测的DDI数据集,并构建了一个名为IDDI的相互作用分析系统,该系统能够浏览蛋白质和域之间的相互作用及其相互关系。为了集成异构DDI信息,引入了一种新颖的评分方案,通过考虑数据集中每个DDI的预测得分和每种预测方法的置信度以及预测数据集之间的独立性来确定DDI的可靠性。此外,我们将此DDI信息与全面的PPI信息连接起来,并开发了统一的界面用于进行蛋白质和结构域水平上的相互作用网络的相互作用分析。结果IDDI在当前版本的总共7,351个Pfam域中提供了204,705个DDI。结果表明,DDI的总数比以前的研究增加了八倍。由于数据的增加,可以将50.4%的PPI与DDI相关,这是以前资源的两倍以上。新设计的评分方案在准确性方面也优于以前的系统。 IDDI系统的用户界面以相互关联的方式交互提供蛋白质和域的交互研究。给出了一个具体的例子来说明系统以PPI和DDI关系获取目标蛋白的全面信息的效率。 IDDI可从http://pcode.kaist.ac.kr/iddi/免费获得。

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