The iterative helical real space reconstruction method: Surmounting the problems posed by real polymers
The iterative helical real space reconstruction method: Surmounting the problems posed by real polymers
复制标题
迭代螺旋实空间重构法： 解决实际聚合物带来的问题
DOI：
10.1016/j.jsb.2006.05.015
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发表时间：
2007-01-01
影响因子：
3
通讯作者：
Egelman, Edward H.
中科院分区：
文献类型：
--
作者：
Egelman, Edward H.
许多重要的生物大分子以螺旋聚合物的形式存在。实例是肌动蛋白、微管蛋白、肌球蛋白、RecA、Rad 51、鞭毛蛋白、皮利和丝状噬菌体。从电子显微镜图像三维重建的第一个应用是螺旋聚合物，今天许多实验室正在使用完整膜蛋白的螺旋管，以近原子分辨率在电子显微镜中解决这些蛋白质的结构。提出了一种分析和重建高分子螺旋聚合物电子显微图像的方法--迭代螺旋真实的空间重建（1HRSR）算法。我们可以证明，当存在无序或异质性时，当样本的干扰较弱时，或者当Bessel函数重叠时，我们可以用我们的方法做得比使用传统的Fourier-Bessel方法好得多。在许多情况下，甚至不适合分析的结构可以使用我们的方法以相当高的分辨率求解。在传统的方法中固有的问题进行了讨论，并举例说明如何1HRSR方法克服这些问题。(c)2006年由Elsevier Inc.出版
Many important biological macromolecules exist as helical polymers. Examples are actin, tubulin, myosin, RecA, Rad51, flagellin, pili, and filamentous bacteriophage. The first application of three-dimensional reconstruction from electron microscopic images was to a helical polymer, and a number of laboratories today are using helical tubes of integral membrane proteins for solving the structure of these proteins in the electron microscope at near atomic resolution. We have developed a method to analyze and reconstruct electron microscopic images of macromolecular helical polymers, the iterative helical real space reconstruction (1HRSR) algorithm. We can show that when there is disorder or heterogeneity, when the specimens diffract weakly, or when Bessel functions overlap, we can do far better with our method than can be done using traditional Fourier-Bessel approaches. In many cases, Structures that were not even amenable to analysis can be solved at fairly high resolution using our method. The problems inherent in the traditional approach are discussed, and examples are presented illustrating how the 1HRSR approach surmounts these problems. (c) 2006 Published by Elsevier Inc.