Helical reconstruction in RELION
Helical reconstruction in RELION
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DOI：
10.1016/j.jsb.2017.02.003
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发表时间：
2017-06-01
影响因子：
3
通讯作者：
Scheres, Sjors H. W.
中科院分区：
文献类型：
--
作者：
He, Shaoda;Scheres, Sjors H. W.
我们描述了一种在RELION的经验贝叶斯框架下重建螺旋组件的新实现方法。我们的方法通过在傅里叶空间中嵌入螺旋对称算子来计算三维重建的最优线性滤波器，并通过对单个片段的取向设置高斯形状的先验来处理与完美螺旋对称的偏差。通过将我们的方法纳入RELION中用于单颗粒分析的标准流程，我们的实现旨在让没有经验的用户也能轻松使用。尽管我们的实现并没有解决当施加错误的螺旋对称性时可能得到完全错误的结构这一问题，但我们针对四个不同的测试案例表明，它能够将结构重建到接近原子分辨率。（C）2017年分子生物学医学研究委员会实验室。由爱思唯尔公司出版。
We describe a new implementation for the reconstruction of helical assemblies in the empirical Bayesian framework of RELION. Our approach calculates optimal linear filters for the 3D reconstruction by embedding helical symmetry operators in Fourier-space, and deals with deviations from perfect helical symmetry through Gaussian-shaped priors on the orientations of individual segments. By incorporating our approach into the standard pipeline for single-particle analysis in RELION, our implementation aims to be easily accessible for non-experienced users. Although our implementation does not solve the problem that grossly incorrect structures can be obtained when the wrong helical symmetry is imposed, we show for four different test cases that it is capable of reconstructing structures to near-atomic resolution. (C) 2017 MRC Laboratory of Molecular Biology. Published by Elsevier Inc.