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Identifying Sub-Network Functional Modules in Protein Undirected Networks

机译:识别蛋白质无向网络中的子网功能模块

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Protein networks are usually used to describe the interacting behaviours of complex biosystems. Bioinformatics must be able to provide methods to mine protein undirected networks and to infer subnetworks of interacting proteins for identifying relevant biological pathways. Here we present FunMod an innovative Cytoscape version 2.8 plugin able to identify biologically significant sub-networks within informative protein networks, enabling new opportunities for elucidating pathways involved in diseases. Moreover FunMod calculates three topological coefficients for each subnetwork, for a better understanding of the cooperative interactions between proteins and discriminating the role played by each protein within a functional module. FunMod is the first Cytoscape plugin with the ability of combining pathways and topological analysis allowing the identification of the key proteins within sub-network functional modules.
机译:蛋白质网络通常用于描述复杂生物系统的相互作用行为。生物信息学必须能够提供对矿蛋白无向网络的方法,并推断用于识别相关生物途径的相互作用蛋白的子网。在这里,我们提供了一种创新的Cytoscape版本2.8插件,能够在信息蛋白质网络中识别生物学上有明显的子网,为阐明疾病阐明的新机会。此外,FunMod计算每个子网的三个拓扑系数,以更好地理解蛋白质之间的合作相互作用并鉴别功能模块内每种蛋白质的作用。 Funmod是第一个Cytoscape插件,具有组合途径和拓扑分析的能力,允许鉴定子网功能模块内的关键蛋白质。

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