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Protein Residue Networks from Energetic and Geometric Data: Are They Identical?

机译:来自能量和几何数据的蛋白质残留网络:它们相同吗?

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Protein residue networks (PRN) from energetic and geometric data are probably not identical. PRNs constructed from ab initio pair interaction energies are analyzed for the first time and compared to PRN based on center of mass separation. We use modern, previously unused algorithms such as global and local efficiencies to quantitatively confirm that both types of PRNs do exhibit small-world character. The main novelty finding is that interaction energy-based PRNs preserve small-world character even when clustered. A node hierarchy independent of the cutoff energy used for the edge creation is characteristic for them. Efficiency centrality identifies hubs responsible for such behavior. The interaction energy-based PRNs seem to comply with the scale-free network model with respect to efficiency centrality distribution as opposed to distance based PRNs. Community detection is introduced into protein network research as an extension beyond cluster analysis to study tertiary and quaternary structures.
机译:来自精力充沛和几何数据的蛋白质残留网络(PRN)可能无法相同。从AB Initio对交互能量构成的PRNS首次分析并与PRN基于质量分离的中心进行比较。我们使用现代,以前未使用的算法,例如全球和本地效率,以定量证实,两种类型的PRN都表现出小世界性格。主要的新奇发现是,即使在聚类时,基于能量的PRNS也保护了小世界的角色。独立于用于边缘创建的截止能量的节点层次结构是它们的特征。效率中心地标识负责此类行为的集线器。基于交互能量的PRNS似乎遵守无尺度的网络模型,而不是效率中心分布,而不是基于距离的PRN。群落检测被引入蛋白质网络研究,作为基于集群分析的延伸,以研究三级和第四纪结构。

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