Bouvignies Guillaume, Markwick Phineus R L, Blackledge Martin
Institute de Biologie Structurale Jean-Pierre Ebel, CNRS; CEA; UJF; UMR 5075, 41 rue Jules Horowitz, F-38027 Grenoble, Cedex, France.
Proteins. 2008 Apr;71(1):353-63. doi: 10.1002/prot.21703.
Residual dipolar couplings are potentially very powerful probes of slower protein motions, providing access to dynamic events occurring on functionally important timescales up to the millisecond. One recent approach uses the three dimensional Gaussian Axial Fluctuation model (3D GAF) to determine the major directional modes and associated amplitudes of motions along the peptide chain. In this study we have used standard and accelerated molecular dynamics simulations to determine the accuracy of 3D GAF-based approaches in characterizing the nature and extent of local molecular motions. We compare modes determined directly from the trajectories with motional parameterization derived from RDCs simulated from the same trajectories. Three approaches are tested, that either suppose a known three-dimensional structure, simultaneously determine backbone structure and dynamics, or determine dynamic modes in the absence of a structural model. The results demonstrate the robustness of the 3D GAF analysis even in the presence of large-scale motions, and illustrate the remarkably quantitative nature of the extracted amplitudes. These observations suggest that the approach can be generally used for the study of functionally interesting biomolecular motions.
剩余偶极耦合是探测蛋白质慢运动的潜在强大工具,可用于研究在功能重要的时间尺度上直至毫秒级发生的动态事件。最近的一种方法使用三维高斯轴向涨落模型(3D GAF)来确定沿肽链运动的主要方向模式和相关振幅。在本研究中,我们使用标准和加速分子动力学模拟来确定基于3D GAF的方法在表征局部分子运动的性质和程度方面的准确性。我们将直接从轨迹确定的模式与从相同轨迹模拟的剩余偶极耦合(RDC)导出的运动参数化进行比较。测试了三种方法,一种假设已知三维结构,一种同时确定主链结构和动力学,还有一种在没有结构模型的情况下确定动态模式。结果表明,即使存在大规模运动,3D GAF分析仍具有稳健性,并说明了所提取振幅的显著定量性质。这些观察结果表明,该方法可普遍用于研究具有功能意义的生物分子运动。