van der Heide U A, Hopkins S C, Goldman Y E
Pennsylvania Muscle Institute, D701 Richards Building, The School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6083, USA.
Biophys J. 2000 Apr;78(4):2138-50. doi: 10.1016/S0006-3495(00)76760-9.
Techniques have recently become available to label protein subunits with fluorescent probes at predetermined orientation relative to the protein coordinates. The known local orientation enables quantitative interpretation of fluorescence polarization experiments in terms of orientation and motions of the protein within a larger macromolecular assembly. Combining data obtained from probes placed at several distinct orientations relative to the protein structure reveals functionally relevant information about the axial and azimuthal orientation of the labeled protein segment relative to its surroundings. Here we present an analytical method to determine the protein orientational distribution from such data. The method produces the broadest distribution compatible with the data by maximizing its informational entropy. The key advantages of this approach are that no a priori assumptions are required about the shape of the distribution and that a unique, exact fit to the data is obtained. The relative orientations of the probes used for the experiments have great influence on information content of the maximum entropy distribution. Therefore, the choice of probe orientations is crucial. In particular, the probes must access independent aspects of the protein orientation, and two-fold rotational symmetries must be avoided. For a set of probes, a "figure of merit" is proposed, based on the independence among the probe orientations. With simulated fluorescence polarization data, we tested the capacity of maximum entropy analysis to recover specific protein orientational distributions and found that it is capable of recovering orientational distributions with one and two peaks. The similarity between the maximum entropy distribution and the test distribution improves gradually as the number of independent probe orientations increases. As a practical example, ME distributions were determined with experimental data from muscle fibers labeled with bifunctional rhodamine at known orientations with respect to the myosin regulatory light chain (RLC). These distributions show a complex relationship between the axial orientation of the RLC relative to the fiber axis and the azimuthal orientation of the RLC about its own axis. Maximum entropy analysis reveals limitations in available experimental data and supports the design of further probe angles to resolve details of the orientational distribution.
最近已有技术可用于以相对于蛋白质坐标的预定方向用荧光探针标记蛋白质亚基。已知的局部方向能够根据蛋白质在更大的大分子组装体中的方向和运动对荧光偏振实验进行定量解释。结合从相对于蛋白质结构处于几个不同方向的探针获得的数据,可以揭示关于标记蛋白质片段相对于其周围环境的轴向和方位角方向的功能相关信息。在此,我们提出一种分析方法来从这些数据确定蛋白质的方向分布。该方法通过最大化其信息熵来产生与数据兼容的最宽泛分布。这种方法的关键优势在于不需要对分布的形状进行先验假设,并且能够获得与数据的唯一、精确拟合。用于实验的探针的相对方向对最大熵分布的信息含量有很大影响。因此,探针方向的选择至关重要。特别是,探针必须能够获取蛋白质方向的独立方面,并且必须避免二重旋转对称性。对于一组探针,基于探针方向之间的独立性提出了一个“品质因数”。利用模拟的荧光偏振数据,我们测试了最大熵分析恢复特定蛋白质方向分布的能力,发现它能够恢复具有一个和两个峰的方向分布。随着独立探针方向数量的增加,最大熵分布与测试分布之间的相似性逐渐提高。作为一个实际例子,利用来自用双功能罗丹明以相对于肌球蛋白调节轻链(RLC)的已知方向标记的肌肉纤维的实验数据确定了最大熵分布。这些分布显示了RLC相对于纤维轴的轴向方向与其围绕自身轴的方位角方向之间的复杂关系。最大熵分析揭示了现有实验数据的局限性,并支持设计进一步的探针角度以解析方向分布的细节。