首页> 外文期刊>The Journal of Chemical Physics >Hierarchical structure of the energy landscape of proteins revisited by time series analysis.I.Mimicking protein dynamics in different time scales
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Hierarchical structure of the energy landscape of proteins revisited by time series analysis.I.Mimicking protein dynamics in different time scales

机译:通过时间序列分析重新探究蛋白质能量构象的层次结构.I。模拟不同时间尺度的蛋白质动力学

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Time series models,which are constructed from the projections of the molecular-dynamics(MD)runs on principal components(modes),are used to mimic the dynamics of two proteins:tendamistat and immunity protein of colicin E7(ImmE7).Four independent MD runs of tendamistat and three independent runs of ImmE7 protein in vacuum are used to investigate the energy landscapes of these proteins.It is found that mean-square displacements of residues along the modes in different time scales can be mimicked by time series models,which are utilized in dividing protein dynamics into different regimes with respect to the dominating motion type.The first two regimes constitute the dominance of intraminimum motions during the first 5 ps and the random walk motion in a hierarchically higher-level energy minimum,which comprise the initial time period of the trajectories up to 20-40 ps for tendamistat and 80-120 ps for ImmE7.These are also the time ranges within which the linear nonstationary time series are completely satisfactory in explaining protein dynamics.Encountering energy barriers enclosing higher-level energy minima constrains the random walk motion of the proteins,and pseudorelaxation processes at different levels of minima are detected in tendamistat,depending on the sampling window size.Correlation(relaxation)times of 30-40 ps and 150-200 ps are detected for two energy envelopes of successive levels for tendamistat,which gives an overall idea about the hierarchical structure of the energy landscape.However,it should be stressed that correlation times of the modes are highly variable with respect to conformational subspaces and sampling window sizes,indicating the absence of an actual relaxation.The random-walk step sizes and the time length of the second regime are used to illuminate an important difference between the dynamics of the two proteins,which cannot be clarified by the investigation of relaxation times alone:ImmE7 has lower-energy barriers enclosing the higher-level energy minimum,preventing the protein to relax and letting it move in a random-walk fashion for a longer period of time.
机译:时间序列模型是由分子动力学(MD)在主成分(模式)上的投影构建的,用于模拟两种蛋白质的动力学:腾丁司他和大肠菌素E7(ImmE7)免疫蛋白。四个独立的MD进行了替米司他运行和真空中ImmE7蛋白的三个独立运行来研究这些蛋白的能量分布图。发现,在不同时间范围内沿模式的残基均方位移可以通过时间序列模型来模拟,它们分别是前两种状态构成了前5 ps内最小运动的主导和随机起步运动在更高级别的能量最小值(包括初始时间)中的优势。肌腱抑制剂的轨迹周期高达20-40 ps,ImmE7的轨迹周期高达80-120 ps。这些时间范围内的线性非平稳时间序列为完全能令人满意地解释蛋白质动力学。包围更高能级最小值的能量障碍限制了蛋白质的随机游走运动,并且根据采样窗口的大小,在tensamistat中检测到了不同最小值下的伪松弛过程。在替拉米司他连续两个水平的能量包络中检测到30-40 ps和150-200 ps的速度,这提供了关于能量格局的层次结构的总体思路。但是,应该强调的是,这些模式的相关时间非常高关于构象子空间和采样窗口大小的变量,表明没有实际的松弛。第二步态的随机游走步长和时间长度被用来阐明两种蛋白质动力学之间的重要差异,这不能仅通过弛豫时间的研究就可以澄清:ImmE7具有较低的能量屏障,包围了较高的最低能量消耗,防止蛋白质松弛,并使其以随机游走的方式运动更长的时间。

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