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Relationship between protein thermodynamic constraints and variation of evolutionary rates among sites

机译:蛋白质热力学约束与位点间进化速率变化之间的关系

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Evolutionary-rate variation among sites within proteins depends on functional and biophysical properties that constrain protein evolution. It is generally accepted that proteins must be able to fold stably in order to function. However, the relationship between stability constraints and among-sites rate variation is not well understood. Here, we present a biophysical model that links the thermodynamic stability changes due to mutations at sites in proteins (Delta Delta G) to the rate at which mutations accumulate at those sites over evolutionary time. We find that such a 'stability model' generally performs well, displaying correlations between predicted and empirically observed rates of up to 0.75 for some proteins. We further find that our model has comparable predictive power as does an alternative, recently proposed 'stress model' that explains evolutionary-rate variation among sites in terms of the excess energy needed for mutants to adopt the correct active structure (Delta Delta G(star)). The two models make distinct predictions, though, and for some proteins the stability model outperforms the stress model and vice versa. We conclude that both stability and stress constrain site-specific sequence evolution in proteins.
机译:蛋白质内部位点之间的进化速率变化取决于限制蛋白质进化的功能和生物物理特性。人们普遍认为蛋白质必须能够稳定折叠才能发挥功能。但是,对稳定性约束与站点间速率变化之间的关系了解不多。在这里,我们提出了一个生物物理模型,该模型将由于蛋白质位点(Delta Delta G)处的突变而引起的热力学稳定性变化与突变在进化过程中在这些位点处积累的速率联系起来。我们发现,这种“稳定性模型”通常表现良好,显示出某些蛋白质的预测速率和经验速率之间的相关性最高可达0.75。我们进一步发现,我们的模型与替代的,最近提出的``压力模型''具有可比的预测能力,该模型根据突变体采用正确的主动结构所需的多余能量来解释位点之间的进化速率变化(Delta Delta G(star ))。不过,这两个模型做出了不同的预测,对于某些蛋白质,稳定性模型的性能优于应力模型,反之亦然。我们得出的结论是,稳定性和压力都限制了蛋白质中位点特异性序列的进化。

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