Reboul Cyril F, Eager Michael, Elmlund Dominika, Elmlund Hans
Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.
Australian Research Council Centre of Excellence in Advanced Molecular Imaging, Monash University, Melbourne, Victoria, Australia.
Protein Sci. 2018 Jan;27(1):51-61. doi: 10.1002/pro.3266. Epub 2017 Sep 6.
Cryogenic electron microscopy (cryo-EM) and single-particle analysis now enables the determination of high-resolution structures of macromolecular assemblies that have resisted X-ray crystallography and other approaches. We developed the SIMPLE open-source image-processing suite for analysing cryo-EM images of single-particles. A core component of SIMPLE is the probabilistic PRIME algorithm for identifying clusters of images in 2D and determine relative orientations of single-particle projections in 3D. Here, we extend our previous work on PRIME and introduce new stochastic optimization algorithms that improve the robustness of the approach. Our refined method for identification of homogeneous subsets of images in accurate register substantially improves the resolution of the cluster centers and of the ab initio 3D reconstructions derived from them. We now obtain maps with a resolution better than 10 Å by exclusively processing cluster centers. Excellent parallel code performance on over-the-counter laptops and CPU workstations is demonstrated.
低温电子显微镜(cryo-EM)和单颗粒分析现在能够确定那些无法通过X射线晶体学和其他方法解析的大分子组装体的高分辨率结构。我们开发了用于分析单颗粒低温电子显微镜图像的开源图像处理套件SIMPLE。SIMPLE的一个核心组件是概率PRIME算法,用于识别二维图像簇并确定三维中单颗粒投影的相对方向。在此,我们扩展了之前关于PRIME的工作,并引入了新的随机优化算法,提高了该方法的稳健性。我们用于准确对齐识别图像均匀子集的改进方法,显著提高了簇中心以及从这些簇中心得到的从头三维重建的分辨率。现在,通过专门处理簇中心,我们获得了分辨率优于10 Å的图谱。展示了在普通笔记本电脑和CPU工作站上出色的并行代码性能。