Burghardt T P, French A R
Department of Biochemistry and Molecular Biology, Mayo Foundation, Rochester, Minnesota 55905.
Biophys J. 1989 Sep;56(3):525-34. doi: 10.1016/S0006-3495(89)82699-2.
Model-independent methods for the reconstruction of the nitroxide spin probe angular distribution of labeled oriented biological assemblies from electron spin resonance (ESR) spectra were investigated. We found that accurate probe angular distribution information could be obtained from the simultaneous consideration of a series of ESR spectra originating from a sample at differing tilt angles relative to the Zeeman magnetic field. Using simulated tilt series data sets, we developed a consistent criteria for judging the reliability of the simulated fit to the data as a function of the free spectral parameters and thereby have increased the significance of the model-independent reconstruction of the probe angular distribution derived from the fit. We have also enhanced the angular resolution measurable with the model-independent methodology by increasing the rank of the order parameters that we can reliably deduce from a spectrum. This enhancement allows us to accurately deduce higher resolution features of the spin probe distribution. Finally we investigated the usefulness of fitting the tilt series data in multiple data sets such that tilt series data from many identical sample preparations are fitted simultaneously. This method proved to be useful in rapidly reducing a large amount of data by eliminating any redundant computations in the application of the enhanced model-independent analysis to identical sets of tilt series data. We applied the methodology developed here to ESR spectra from probe labeled muscle fibers to study the orientation of myosin cross-bridges in fibers. This application is described in the accompanying paper.
研究了从电子自旋共振(ESR)光谱重建标记取向生物组装体中氮氧化物自旋探针角分布的与模型无关的方法。我们发现,通过同时考虑一系列来自相对于塞曼磁场处于不同倾斜角度的样品的ESR光谱,可以获得准确的探针角分布信息。使用模拟倾斜系列数据集,我们制定了一致的标准,用于判断作为自由光谱参数函数的模拟拟合数据的可靠性,从而提高了从拟合中得出的与模型无关的探针角分布重建的显著性。我们还通过提高能够从光谱中可靠推导的序参量的秩,增强了用与模型无关的方法可测量的角分辨率。这种增强使我们能够准确推导自旋探针分布的更高分辨率特征。最后,我们研究了在多个数据集中拟合倾斜系列数据的有用性,即同时拟合来自许多相同样品制备的倾斜系列数据。该方法被证明在通过消除在将增强的与模型无关的分析应用于相同倾斜系列数据集时的任何冗余计算来快速减少大量数据方面是有用的。我们将这里开发的方法应用于来自探针标记肌肉纤维的ESR光谱,以研究纤维中肌球蛋白横桥的取向。此应用在随附论文中进行了描述。