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首页> 外文期刊>Chemical Reviews >Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell
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Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell

机译:蛋白质合奏:自然如何利用生命的热力学波动?构象集合在细胞中的多种功能作用

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All soluble proteins populate conformational ensembles that together constitute the native state. Their fluctuations in water are intrinsic thermodynamic phenomena, and the distributions of the states on the energy landscape are determined by statistical thermodynamics; however, they are optimized to perform their biological functions. In this review we briefly describe advances in free energy landscape studies of protein conformational ensembles. Experimental (nuclear magnetic resonance; small angle X-ray scattering, single-molecule spectroscopy, and cryo-electron microscopy) and computational (replica-exchange molecular dynamics, metadynamics; and Markov state models) approaches have made great progress in recent years. These address the challenging characterization of the highly flexible and heterogeneous protein ensembles. We focus on structural aspects of protein conformational distributions, from collective motions of single- and multi-domain proteins, intrinsically disordered proteins, to multiprotein complexes. Importantly, we highlight recent studies that illustrate functional adjustment of protein conformational ensembles in the crowded cellular environment. We center on the role of the ensemble in recognition of small- and macro-molecules (protein and RNA/DNA) and emphasize emerging concepts of protein dynamics in enzyme catalysis. Overall, protein ensembles link fundamental physicochemical principles and protein behavior and the cellular network and its regulation.
机译:所有可溶性蛋白都构成构象集合,它们一起构成了天然状态。它们在水中的波动是固有的热力学现象,而能量分布上的态分布是由统计热力学确定的。然而,它们被优化以执行其生物学功能。在这篇综述中,我们简要描述了蛋白质构象集成体的自由能景观研究的进展。近年来,实验方法(核磁共振;小角度X射线散射,单分子光谱法和冷冻电子显微镜)和计算方法(复制交换分子动力学,元动力学和马尔可夫状态模型)已取得了很大的进步。这些解决了高度灵活且异质的蛋白质集合的挑战性表征。我们专注于蛋白质构象分布的结构方面,从单域和多域蛋白,固有无序蛋白的集体运动到多蛋白复合物。重要的是,我们重点介绍了最近的研究,这些研究说明了在拥挤的细胞环境中蛋白质构象集合的功能调节。我们着重于整体在识别小分子和大分子(蛋白质和RNA / DNA)中的作用,并强调在酶催化中蛋白质动力学的新兴概念。总体而言,蛋白质组将基本的理化原理和蛋白质行为与细胞网络及其调控联系起来。

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