通过分离定向运动来解释MD模拟中的核磁共振动态参数

Albert A. Smith
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引用次数: 2

摘要

重定向动力学——由矢量或张量方向的变化所定义的运动——决定了核磁共振(NMR)中的弛豫行为。然而,如果存在导致重新定位的多个过程,那么分析净效应就会成为一项复杂的任务,因此理想情况下,可以将这些运动分开以简化分析。无模型和两步方法建立了重定向运动的总相关函数的可分离性,从统计独立的运动贡献。通过将数据拟合到由两个或三个单独的相关函数(每个相关函数代表一个独立的运动)的乘积产生的总相关函数中,可分离性被用来证明实验弛豫速率常数的分析是正确的。所得到的参数用于描述分子中的运动,但如果存在多个内部运动,解释这些参数并不是微不足道的。我们建议另一种方法:定量和特定时间尺度的实验和模拟比较,如先前使用检测器分析建立的。接下来是将模拟的相关函数分离成独立的运动,并对结果进行特定于时间尺度的参数化,这样就可以确定每个运动对实验参数的贡献。我们利用分子动力学模拟的坐标建立了相关函数的分离方案。分离是通过定义一系列帧来实现的,其中帧迭代地将总运动分为每帧内的运动和每帧的运动。然后,描述总运动的时间尺度特定参数(例如探测器响应)可以根据单个运动的时间尺度特定参数化来解释。
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Interpreting NMR dynamic parameters via the separation of reorientational motion in MD simulation

Reorientational dynamics—motion defined by changes in the direction of a vector or tensor—determine relaxation behavior in nuclear magnetic resonance (NMR). However, if multiple processes exist that result in reorientation, then analyzing the net effects becomes a complex task, so that one ideally would separate those motions to simplify analysis. The model-free and two-step approaches have established the separability of the total correlation function of reorientation motion into contributions from statistically independent motions. Separability has been used to justify the analysis of experimental relaxation rate constants by fitting data to a total correlation function resulting from the product of two or three individual correlation functions, each representing an independent motion. The resulting parameters are used to describe motion in the molecule, but if multiple internal motions are present, interpreting those parameters is not trivial. We suggest an alternative approach: quantitative and timescale-specific comparison of experiment and simulation, as previously established using the detector analysis. This is followed by separation of simulated correlation functions into independent motions, and timescale-specific parameterization of the results, such that one may determine how each motion contributes to experimental parameters. We establish protocols for the separation of the correlation function into components using coordinates from molecular dynamics simulation. Separation is achieved by defining a series of frames, where the frames iteratively split the total motion into contributions from motion within each frame and of each frame. Then timescale specific parameters (e.g. detector responses) describing the total motion may be interpreted in terms of the timescale-specific parameterization of the individual motions.

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