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首页> 外文期刊>PLoS Computational Biology >What Evidence Is There for the Homology of Protein-Protein Interactions?
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What Evidence Is There for the Homology of Protein-Protein Interactions?

机译:蛋白质-蛋白质相互作用的同源性有哪些证据?

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摘要

The notion that sequence homology implies functional similarity underlies much of computational biology. In the case of protein-protein interactions, an interaction can be inferred between two proteins on the basis that sequence-similar proteins have been observed to interact. The use of transferred interactions is common, but the legitimacy of such inferred interactions is not clear. Here we investigate transferred interactions and whether data incompleteness explains the lack of evidence found for them. Using definitions of homology associated with functional annotation transfer, we estimate that conservation rates of interactions are low even after taking interactome incompleteness into account. For example, at a blastp -value threshold of , we estimate the conservation rate to be about between S. cerevisiae and H. sapiens. Our method also produces estimates of interactome sizes (which are similar to those previously proposed). Using our estimates of interaction conservation we estimate the rate at which protein-protein interactions are lost across species. To our knowledge, this is the first such study based on large-scale data. Previous work has suggested that interactions transferred within species are more reliable than interactions transferred across species. By controlling for factors that are specific to within-species interaction prediction, we propose that the transfer of interactions within species might be less reliable than transfers between species. Protein-protein interactions appear to be very rarely conserved unless very high sequence similarity is observed. Consequently, inferred interactions should be used with care.
机译:序列同源性暗示功能相似性的概念是许多计算生物学的基础。在蛋白质-蛋白质相互作用的情况下,可以根据观察到序列相似的蛋白质相互作用来推断两种蛋白质之间的相互作用。转移交互的用法很常见,但是这种推断的交互的合法性尚不清楚。在这里,我们调查了转移的相互作用,以及数据不完整是否解释了缺乏为它们找到的证据。使用与功能注释转移相关的同源性的定义,我们估计即使考虑了相互作用组的不完全性,相互作用的保守率也很低。例如,在的blastp值阈值下,我们估计养护率大约在酿酒酵母和智人之间。我们的方法还可以产生相互作用组大小的估计值(类似于先前提出的估计值)。使用我们对相互作用保守性的估计,我们可以估计物种间蛋白质-蛋白质相互作用丧失的速率。就我们所知,这是第一个基于大规模数据的研究。先前的研究表明,物种间传递的相互作用比物种间传递的相互作用更可靠。通过控制种间相互作用预测所特有的因素,我们提出种内相互作用的转移可能不如种间转移可靠。除非观察到非常高的序列相似性,否则蛋白质与蛋白质之间的相互作用似乎很少被保守。因此,应谨慎使用推断的相互作用。

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