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Differential evolutionary conservation of motif modes in the yeast protein interaction network

机译:酵母蛋白质相互作用网络中基序模式的差异进化保守性

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Background The importance of a network motif (a recurring interconnected pattern of special topology which is over-represented in a biological network) lies in its position in the hierarchy between the protein molecule and the module in a protein-protein interaction network. Until now, however, the methods available have greatly restricted the scope of research. While they have focused on the analysis in the resolution of a motif topology, they have not been able to distinguish particular motifs of the same topology in a protein-protein interaction network. Results We have been able to assign the molecular function annotations of Gene Ontology to each protein in the protein-protein interactions of Saccharomyces cerevisiae. For various motif topologies, we have developed an algorithm, enabling us to unveil one million "motif modes", each of which features a unique topological combination of molecular functions. To our surprise, the conservation ratio, i.e., the extent of the evolutionary constraints upon the motif modes of the same motif topology, varies significantly, clearly indicative of distinct differences in the evolutionary constraints upon motifs of the same motif topology. Equally important, for all motif modes, we have found a power-law distribution of the motif counts on each motif mode. We postulate that motif modes may very well represent the evolutionary-conserved topological units of a protein interaction network. Conclusion For the first time, the motifs of a protein interaction network have been investigated beyond the scope of motif topology. The motif modes determined in this study have not only enabled us to differentiate among different evolutionary constraints on motifs of the same topology but have also opened up new avenues through which protein interaction networks can be analyzed.
机译:背景技术网络基序(在生物网络中过度代表的特殊拓扑结构的重复出现的互连模式)的重要性在于其在蛋白质分子与蛋白质相互作用网络中的蛋白质分子与模块之间的层次结构中的位置。但是,到目前为止,可用的方法已经大大限制了研究范围。尽管他们专注于解析基序拓扑的分析,但他们仍无法区分蛋白质-蛋白质相互作用网络中相同拓扑的特定基序。结果我们已经能够在酿酒酵母的蛋白质-蛋白质相互作用中为每种蛋白质分配“基因本体”的分子功能注释。针对各种主题拓扑,我们开发了一种算法,使我们能够揭示一百万种“基序模式”,每种模式均具有分子功能的独特拓扑组合。令我们惊讶的是,保守率,即,对相同基序拓扑的基序模式的进化约束的程度,发生了显着变化,清楚地表明了对相同基序拓扑的基序的进化约束的明显差异。同样重要的是,对于所有主题模式,我们都发现了每种主题模式下主题计数的幂律分布。我们假设母题模式可能很好地代表了蛋白质相互作用网络的进化保守拓扑单元。结论首次对蛋白质相互作用网络的基序进行了超出基序拓扑范围的研究。在这项研究中确定的主题模式不仅使我们能够区分相同拓扑的主题的不同进化限制,而且还开辟了新途径,可以通过这些途径来分析蛋白质相互作用网络。

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