Gu Yina, Li Da-Wei, Brüschweiler Rafael
Department of Chemistry and Biochemistry and ‡Campus Chemical Instrument Center, The Ohio State University , Columbus, Ohio 43210, United States.
J Chem Theory Comput. 2014 Jun 10;10(6):2599-607. doi: 10.1021/ct500181v.
Functional protein motions covering a wide range of time scales can be studied, among other techniques, by NMR and by molecular dynamics (MD) computer simulations. MD simulations of proteins now routinely extend into the hundreds of nanoseconds time scale range exceeding the overall tumbling correlation times of proteins in solution by several orders of magnitude. This provides a unique opportunity to rigorously validate these simulations by quantitative comparison with model-free order parameters derived from NMR relaxation experiments. However, presently there is no consensus on how such a comparison is best done. We address here how this can be accomplished in a way that is both efficient and objective. For this purpose, we analyze (15)N R1 and R2 and heteronuclear {(1)H}-(15)N NOE NMR relaxation parameters computed from 500 ns MD trajectories of 10 different protein systems using the model-free analysis. The resulting model-free S(2) order parameters are then used as targets for S(2) values computed directly from the trajectories by the iRED method by either averaging over blocks of variable lengths or by using exponentially weighted snapshots (wiRED). We find that the iRED results are capable of reproducing the target S(2) values with high accuracy provided that the averaging window is chosen 5 times the length of the overall tumbling correlation time. These results provide useful guidelines for the derivation of NMR order parameters from MD for a meaningful comparison with their experimental counterparts.
除其他技术外,可通过核磁共振(NMR)和分子动力学(MD)计算机模拟来研究涵盖广泛时间尺度的功能性蛋白质运动。目前,蛋白质的MD模拟通常能延伸至数百纳秒的时间尺度范围,比蛋白质在溶液中的整体翻滚相关时间超出几个数量级。这提供了一个独特的机会,可通过与从NMR弛豫实验得出的无模型序参数进行定量比较,来严格验证这些模拟。然而,目前对于如何最好地进行这种比较尚无共识。我们在此探讨如何以高效且客观的方式实现这一点。为此,我们使用无模型分析方法,分析了从10个不同蛋白质系统的500纳秒MD轨迹计算得出的(15)N R1和R2以及异核{(1)H}-(15)N NOE NMR弛豫参数。然后,将所得的无模型S(2)序参数用作通过iRED方法直接从轨迹计算得出的S(2)值的目标,该方法可通过对不同长度的块进行平均或使用指数加权快照(wiRED)来实现。我们发现,只要平均窗口选择为整体翻滚相关时间长度的5倍,iRED结果就能高精度地重现目标S(2)值。这些结果为从MD推导NMR序参数以与其实验对应物进行有意义的比较提供了有用的指导方针。