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首页> 外文期刊>Journal of Structural Biology >Image processing techniques for high-resolution structure determination from badly ordered 2D crystals
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Image processing techniques for high-resolution structure determination from badly ordered 2D crystals

机译:图像处理技术,用于高分辨率2D晶体的高分辨率结构测定

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摘要

2D electron crystallography can be used to study small membrane proteins in their native environment. Obtaining highly ordered 2D crystals is difficult and time-consuming. However, 2D crystals diffracting to only 10-12 angstrom can be prepared relatively conveniently in most cases. We have developed image-processing algorithms allowing to generate a high resolution 3D structure from cryo-electron crystallography images of badly ordered crystals. These include movie-mode unbending, refinement over sub-tiles of the images in order to locally refine the sample tilt geometry, implementation of different CTF correction schemes, and an iterative method to apply known constraints in the real and reciprocal space to approximate amplitudes and phases in the so-called missing cone regions. These algorithms applied to a dataset of the potassium channel MloK1 show significant resolution improvements to better than 5 angstrom.
机译:2D电子晶体学可用于研究本地环境中的小膜蛋白。 获得高度有序的2D晶体是困难和耗时的。 然而,在大多数情况下,可以相对方便地制备仅衍射到仅10-12埃的2D晶体。 我们开发了图像处理算法,其允许从较大有序的晶体的冷冻电子晶体图像图像产生高分辨率的3D结构。 这些包括电影模式不平衡,在图像的子块上改进,以便在本地改进样本倾斜几何形状,不同的CTF校正方案的实现,以及应用真实空间中的已知约束的迭代方法,以近似振幅和近似振幅 所谓的缺失锥形区域中的阶段。 应用于钾通道的数据集的这些算法MLOK1显示出显着的分辨率改善,以优于5埃。

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