Detecting Functional Modules from Protein Interaction Networks

Feng Luo, R. Scheuermann
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引用次数: 4

Abstract

Accumulating evidence suggests that biological systems are composed of separable functional modules. Identifying these modules is essential in understanding the organization of biological systems. In this paper, we extend the indegree and outdegree concept of vertex to the sub-graph and propose a new formal definition of a module in a network. By combining our new network module definition with an adaptation of the Girvan-Newman algorithm, we propose a new divisive algorithm to detect modules from protein interaction networks. We applied our approach to the DIP yeast core protein interaction network and 81 compact simple modules with size larger than 3 are revealed. All 81 modules are significantly enriched for functional gene ontology terms. Comparison between our compact simple modules with the modules of Radicchi et al. showed that our modules are statistically more significant (lower P-value). Our approach provides a plausible way to identify functional modules within biological networks
从蛋白质相互作用网络中检测功能模块
越来越多的证据表明,生物系统是由可分离的功能模块组成的。识别这些模块对于理解生物系统的组织是必不可少的。本文将顶点的度和出度概念推广到子图中,提出了网络中模的一种新的形式化定义。通过将我们的新网络模块定义与对Girvan-Newman算法的适应相结合,我们提出了一种新的分裂算法来检测蛋白质相互作用网络中的模块。我们将该方法应用于DIP酵母核心蛋白相互作用网络,发现了81个大小大于3的紧凑简单模块。所有81个模块都显著富集了功能基因本体术语。将我们的紧凑简单模块与Radicchi等人的模块进行比较,我们的模块在统计上更显著(p值更低)。我们的方法提供了一种可行的方法来识别生物网络中的功能模块
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