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Reconstruction of Network Evolutionary History from Extant Network Topology and Duplication History

机译:从现存网络拓扑和复制历史重建网络进化历史

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Genome-wide protein-protein interaction (PPI) data are readily available thanks to recent breakthroughs in biotechnology. However, PPI networks of extant organisms are only snapshots of the network evolution. How to infer the whole evolution history becomes a challenging problem in computational biology. In this paper, we present a likelihood-based approach to inferring network evolution history from the topology of PPI networks and the duplication relationship among the paralogs. Simulations show that our approach outperforms the existing ones in terms of the accuracy of reconstruction. Moreover, the growth parameters of several real PPI networks estimated by our method are more consistent with the ones predicted in literature.
机译:得益于生物技术的最新突破,全基因组范围的蛋白质间相互作用(PPI)数据随时可用。但是,现存生物的PPI网络只是网络进化的快照。如何推断整个进化史成为计算生物学中一个具有挑战性的问题。在本文中,我们提出了一种基于可能性的方法,可从PPI网络的拓扑结构和旁系同源物之间的重复关系推断网络演化历史。仿真表明,在重建精度方面,我们的方法优于现有方法。此外,通过我们的方法估计的几个实际PPI网络的增长参数与文献中预测的参数更加一致。

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