对 CzrA 转录抑制因子的多尺度分析凸显了金属离子结合诱导的异构变化

Marta Rigoli, Raffaello Potestio, Roberto Menichetti
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引用次数: 0

摘要

异相调控是多种蛋白质传递化学信号和执行生物功能时普遍采用的一种策略。金属传感器蛋白就是这方面的典范,例如,它们会根据远端离子配位位点的状态选择性地结合或解除结合 DNA。在本研究中,我们通过分析微秒长的分子动力学(MD)轨迹,对 CzrA 转录抑制因子的结构和机械特性进行了研究;后者是通过映射熵优化工作流(MEOW)进行处理的,MEOW 是最近开发的一种信息理论方法,它以无监督的方式突出了具有特殊机械、功能和生物学重要性的残基。通过这种方法,我们可以揭示锌配位位点的状态如何控制分子性质的差异,尤其是 DNA 结合区。这些变化与整个分子中残基构象变化的分布有关,尽管在两种(离子结合和游离)配位状态下,分子结构总体上是一致的。这项工作的结果证实了之前的研究,为深入了解 CzrA 的力学细节提供了新的视角,并展示了 MEOW 方法作为一种新型工具,可通过分析普通 MD 模拟来研究蛋白质中的定子调控和其他过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-scale analysis of the CzrA transcription repressor highlights the allosteric changes induced by metal ion binding
Allosteric regulation is a widespread strategy employed by several proteins to transduce chemical signals and perform biological functions. Metal sensor proteins are exemplary in this respect, e.g., in that they selectively bind and unbind DNA depending on the state of a distal ion coordination site. In this work, we carry out an investigation of the structural and mechanical properties of the CzrA transcription repressor through the analysis of microsecond-long molecular dynamics (MD) trajectories; the latter are processed through the mapping entropy optimisation workflow (MEOW), a recently developed information-theoretical method that highlights, in an unsupervised manner, residues of particular mechanical, functional, and biological importance. This approach allows us to unveil how differences in the properties of the molecule are controlled by the state of the zinc coordination site, with particular attention to the DNA binding region. These changes correlate with a redistribution of the conformational variability of the residues throughout the molecule, in spite of an overall consistency of its architecture in the two (ion-bound and free) coordination states. The results of this work corroborate previous studies, provide novel insight into the fine details of the mechanics of CzrA, and showcase the MEOW approach as a novel instrument for the study of allosteric regulation and other processes in proteins through the analysis of plain MD simulations.
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