Alakent Burak, Camurdan Mehmet C, Doruker Pemra
Department of Chemical Engineering, Bogazici University, Bebek, Istanbul 34342, Turkey.
J Chem Phys. 2005 Oct 8;123(14):144910. doi: 10.1063/1.2042407.
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.
时间序列模型由分子动力学(MD)运行在主成分(模式)上的投影构建而成,用于模拟两种蛋白质的动力学:肌腱抑素和大肠杆菌素E7免疫蛋白(ImmE7)。在真空中对肌腱抑素进行了四次独立的MD运行,对ImmE7蛋白进行了三次独立运行,以研究这些蛋白质的能量景观。研究发现,时间序列模型可以模拟不同时间尺度下残基沿模式的均方位移,该模型用于根据主导运动类型将蛋白质动力学划分为不同的区域。前两个区域分别是在前5皮秒内最小能量范围内运动占主导,以及在层次更高的能量最小值内的随机游走运动,对于肌腱抑素,这包括轨迹的初始时间段,直至20 - 40皮秒;对于ImmE7,则为80 - 120皮秒。这些也是线性非平稳时间序列在解释蛋白质动力学方面完全令人满意的时间范围。遇到围绕更高层次能量最小值的能量障碍会限制蛋白质的随机游走运动,并且在肌腱抑素中检测到不同层次最小值处的伪弛豫过程,这取决于采样窗口大小。对于肌腱抑素连续层次的两个能量包络,检测到的相关(弛豫)时间分别为30 - 40皮秒和150 - 200皮秒,这给出了能量景观层次结构的总体概念。然而,应该强调的是,模式的相关时间相对于构象子空间和采样窗口大小变化很大,这表明不存在实际的弛豫。随机游走步长和第二个区域的时间长度用于阐明这两种蛋白质动力学之间的一个重要差异,仅通过研究弛豫时间无法阐明这一差异:ImmE7围绕更高层次能量最小值的能量障碍较低,这使得蛋白质无法弛豫,并使其在更长时间内以随机游走方式移动。