基于蛋白质网络的模块动态特性挖掘研究

目前对于蛋白质网络的多数分析方法都是基于静态网络框架提出的,然而,事实上蛋白质之间的相互作用关系是随着时间变化的,具有明显的动态特性。从动态角度出发,基于蛋白质交互网络,结合时间序列的基因表达数据,揭示蛋白质功能模块变化的动态特性,提出了一种动态网络的构建方法及在动态快照网络中挖掘功能模块的算法,采用模糊匹配的方法揭示了蛋白质功能模块的变化过程。实验证明,该方法能够有效地揭示蛋白质功能模块的动态变化特性。

Analyzing dynamic properties of modules in PPI network

Although many methods were proposed to analyze PPI network in past years, most of them are based on static network analysis framework. However, the PPI network is dynamic changing in living organisms. This paper analyzed the dynamic properties of modules in PPI network. Based on the time-series gene expression, it constructed the dynamic PPI snapshots and proposed a novel algorithm to mine functional modules in the snapshot networks. Thus, it adopted a fuzzy matching method to reveal the dynamic properties of modules. Experimental results illustrate the proposed method is helpful to analyze the dynamic properties of modules in PPI network.