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Describing the Orthology Signal in a PPI Network at a Functional, Complex Level

机译:在功能,复杂级别上描述PPI网络中的矫形信号

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摘要

In recent work, stable evolutionary signal induced by orthol-ogous proteins has been observed in a Yeast protein-protein interaction (PPI) network. This finding suggests more connected subgraphs of a PPI network to be potential mediators of evolutionary information. Because protein complexes are also likely to be present in such subgraphs, it is interesting to characterize the bias of the orthology signal on the detection of putative protein complexes. To this aim, we propose a novel methodology for quantifying the functionality of the orthology signal in a PPI network at a protein complex level. The methodology performs a differential analysis between the functions of those complexes detected by clustering a PPI network using only proteins with orthologs in another given species, and the functions of complexes detected using the entire network or sub-networks generated by random sampling of proteins. We applied the proposed methodology to a Yeast PPI network using orthology information from a number of different organisms. The results indicated that the proposed method is capable to isolate functional categories that can be clearly attributed to the presence of an evolutionary (orthology) signal and quantify their distribution at a finegrained protein level.
机译:在最近的工作中,已经在酵母蛋白质-蛋白质相互作用(PPI)网络中观察到由正邻蛋白质诱导的稳定进化信号。这一发现表明,PPI网络的更多连通子图可能是进化信息的潜在媒介。由于此类子图中也可能存在蛋白质复合物,因此表征正构信号对检测推定的蛋白质复合物的偏倚很有趣。为此,我们提出了一种新颖的方法,用于在蛋白质复合物水平上量化PPI网络中的正交信号的功能。该方法对仅使用蛋白质与另一个给定物种中的直系同源物进行聚类来聚类PPI网络而检测到的那些复合物的功能,以及通过对蛋白质进行随机采样而生成的整个网络或子网络所检测到的复合物的功能之间的差异分析。我们使用来自许多不同生物的正交信息将建议的方法应用于酵母PPI网络。结果表明,所提出的方法能够分离出可以明确归因于进化(正交)信号存在的功能类别,并可以在细粒度的蛋白质水平上量化它们的分布。

著录项

  • 来源
  • 会议地点 Changsha(CN);Changsha(CN)
  • 作者单位

    Institute for Computing and Information Sciences, Radboud University Nijmegen,Postbus 9010, 6500 GL Nijmegen, The Netherlands;

    Department of Medical Microbiology, Radboud University Medical Center,Postbus 9101, 6500 HB Nijmegen, The Netherlands;

    Department of Computer Science, University of Seville,Avda. Reina Mercedes s 41012 Seville, Spain;

    Institute for Computing and Information Sciences, Radboud University Nijmegen,Postbus 9010, 6500 GL Nijmegen, The Netherlands;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物工程学(生物技术);
  • 关键词

  • 入库时间 2022-08-26 14:07:53

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