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低温电子显微镜重构的原子建模——模型和成像参数的联合精修。

Atomic modeling of cryo-electron microscopy reconstructions--joint refinement of model and imaging parameters.

机构信息

Department of Biochemistry and Molecular Biology, School of Medicine, Oregon Health and Science University, Portland, OR 97239-3098, USA.

出版信息

J Struct Biol. 2013 Apr;182(1):10-21. doi: 10.1016/j.jsb.2013.01.003. Epub 2013 Jan 29.

DOI:10.1016/j.jsb.2013.01.003
PMID:23376441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3662558/
Abstract

When refining the fit of component atomic structures into electron microscopic reconstructions, use of a resolution-dependent atomic density function makes it possible to jointly optimize the atomic model and imaging parameters of the microscope. Atomic density is calculated by one-dimensional Fourier transform of atomic form factors convoluted with a microscope envelope correction and a low-pass filter, allowing refinement of imaging parameters such as resolution, by optimizing the agreement of calculated and experimental maps. A similar approach allows refinement of atomic displacement parameters, providing indications of molecular flexibility even at low resolution. A modest improvement in atomic coordinates is possible following optimization of these additional parameters. Methods have been implemented in a Python program that can be used in stand-alone mode for rigid-group refinement, or embedded in other optimizers for flexible refinement with stereochemical restraints. The approach is demonstrated with refinements of virus and chaperonin structures at resolutions of 9 through 4.5 Å, representing regimes where rigid-group and fully flexible parameterizations are appropriate. Through comparisons to known crystal structures, flexible fitting by RSRef is shown to be an improvement relative to other methods and to generate models with all-atom rms accuracies of 1.5-2.5 Å at resolutions of 4.5-6 Å.

摘要

在将组件原子结构的拟合精修到电子显微镜重建中时,使用依赖于分辨率的原子密度函数可以联合优化原子模型和显微镜的成像参数。原子密度是通过原子形状因子的一维傅里叶变换计算得出的,该变换与显微镜包络校正和低通滤波器卷积,允许通过优化计算和实验图谱的一致性来精修成像参数,例如分辨率。类似的方法允许精修原子位移参数,即使在低分辨率下也能提供分子柔性的指示。在优化这些附加参数之后,原子坐标可以适度改善。这些方法已在一个 Python 程序中实现,可以在独立模式下用于刚性基团精修,也可以嵌入其他优化器中,用于具有立体化学约束的柔性精修。该方法通过在 9 至 4.5 Å 的分辨率下对病毒和伴侣蛋白结构的精修进行了演示,代表了刚性基团和完全柔性参数化都适用的区域。通过与已知晶体结构的比较,RSRef 的柔性拟合被证明相对于其他方法有所改进,并在 4.5-6 Å 的分辨率下生成具有全原子均方根误差为 1.5-2.5 Å 的模型。

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