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作为区分分子动力学模拟中蛋白质及蛋白质-蛋白质相互作用的动力学指标的原子坐标方差

Variance of Atomic Coordinates as a Dynamical Metric to Distinguish Proteins and Protein-Protein Interactions in Molecular Dynamics Simulations.

作者信息

Paul Sanjoy, Ainavarapu Sri Rama Koti, Venkatramani Ravindra

机构信息

Department of Chemical Sciences, Tata Institute of Fundamental Research, Dr. Homi Bhabha Road, Colaba, Mumbai 400005, Maharashtra, India.

出版信息

J Phys Chem B. 2020 May 28;124(21):4247-4262. doi: 10.1021/acs.jpcb.0c01191. Epub 2020 Apr 27.

Abstract

Protein dynamics is a manifestation of the complex trajectories of these biomolecules on a multidimensional rugged potential energy surface (PES) driven by thermal energy. At present, computational methods such as atomistic molecular dynamics (MD) simulations can describe thermal protein conformational changes in fully solvated environments over millisecond timescales. Despite these advances, a quantitative assessment of protein dynamics remains a complicated topic, intricately linked to issues such as sampling convergence and the identification of appropriate reaction coordinates/structural features to describe protein conformational states and motions. Here, we present the cumulative variance of atomic coordinate fluctuations (CVCF) along trajectories as an intuitive PES sensitive metric to assess both the extent of sampling and protein dynamics captured in MD simulations. We first examine the sampling problem in model one- (1D) and two-dimensional (2D) PES to demonstrate that the CVCF when traced as a function of the sampling variable (time in MD simulations) can identify local and global equilibria. Further, even far from global equilibrium, a situation representative of standard MD trajectories of proteins, the CVCF can distinguish different PES and therefore resolve the resultant protein dynamics. We demonstrate the utility of our CVCF analysis by applying it to distinguish the dynamics of structurally homologous proteins from the ubiquitin family (ubiquitin, SUMO1, SUMO2) and ubiquitin protein-protein interactions. Our CVCF analysis reveals that differential side-chain dynamics from the structured part of the protein (the conserved β-grasp fold) present distinct protein PES to distinguish ubiquitin from SUMO isoforms. Upon binding to two functionally distinct protein partners (UBCH5A and UEV), intrinsic ubiquitin dynamics changes to reflect the binding context even though the two proteins have similar binding modes, which lead to negligible (sub-angstrom scale) structural changes.

摘要

蛋白质动力学是这些生物分子在热能驱动下在多维崎岖势能面(PES)上复杂轨迹的一种表现。目前,诸如原子分子动力学(MD)模拟等计算方法可以描述完全溶剂化环境中蛋白质在毫秒时间尺度上的热构象变化。尽管有这些进展,但对蛋白质动力学的定量评估仍然是一个复杂的课题,与采样收敛以及识别用于描述蛋白质构象状态和运动的合适反应坐标/结构特征等问题紧密相关。在这里,我们提出沿轨迹的原子坐标涨落累积方差(CVCF)作为一种直观的对PES敏感的度量,以评估MD模拟中采样的程度和捕获的蛋白质动力学。我们首先研究一维(1D)和二维(2D)PES模型中的采样问题,以证明当将CVCF作为采样变量(MD模拟中的时间)的函数进行追踪时,它可以识别局部和全局平衡。此外,即使远离全局平衡,这是蛋白质标准MD轨迹的典型情况,CVCF也可以区分不同的PES,从而解析由此产生的蛋白质动力学。我们通过将其应用于区分泛素家族(泛素、SUMO1、SUMO2)中结构同源蛋白质的动力学以及泛素蛋白质 - 蛋白质相互作用,展示了我们的CVCF分析的实用性。我们的CVCF分析表明,来自蛋白质结构部分(保守的β - 抓握折叠)的不同侧链动力学呈现出不同的蛋白质PES,从而将泛素与SUMO异构体区分开来。在与两个功能不同的蛋白质伴侣(UBCH5A和UEV)结合时,内在的泛素动力学发生变化以反映结合环境,尽管这两种蛋白质具有相似的结合模式,导致可忽略不计(亚埃尺度)的结构变化。

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