Physical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 2, 8093, Zurich, Switzerland.
Angew Chem Int Ed Engl. 2017 Oct 23;56(44):13590-13595. doi: 10.1002/anie.201707316. Epub 2017 Sep 14.
Relaxation data in NMR spectra are often used for dynamics analysis, by modeling motion in the sample with a correlation function consisting of one or more decaying exponential terms, each described by an order parameter, and a correlation time. This method has its origins in the Lipari-Szabo model-free approach, which originally considered overall tumbling plus one internal motion and was later expanded to several internal motions. Considering several of these cases in the solid state it is found that if the real motion is more complex than the assumed model, model fitting is biased towards correlation times where the relaxation data are most sensitive. This leads to unexpected distortions in the resulting dynamics description. Therefore dynamics detectors should be used, which characterize different ranges of correlation times and can help in the analysis of protein motion without assuming a specific model of the correlation function.
NMR 谱中的弛豫数据通常用于动力学分析,通过用包含一个或多个指数衰减项的相关函数对样品中的运动进行建模,每个项由一个序参数和一个相关时间描述。这种方法起源于 Lipari-Szabo 无模型自由方法,该方法最初考虑整体翻滚加一个内部运动,后来扩展到几个内部运动。在固态中考虑这些情况中的几个,如果实际运动比假设的模型更复杂,那么模型拟合就会偏向于弛豫数据最敏感的相关时间。这会导致动态描述中出现意想不到的扭曲。因此,应该使用动力学探测器,它可以描述不同范围的相关时间,并有助于在不假设相关函数特定模型的情况下分析蛋白质运动。