Point-group symmetry detection in three-dimensional charge density of biomolecules

被引:4
作者
Reboul, Cyril F. [1 ,2 ]
Kiesewetter, Simon [1 ,2 ]
Elmlund, Dominika [1 ,2 ]
Elmlund, Hans [1 ,2 ]
机构
[1] Monash Univ, Dept Biochem & Mol Biol, Biomed Discovery Inst, Melbourne, Vic 3800, Australia
[2] Monash Univ, Ctr Excellence Adv Mol Imaging, Australian Res Council, Melbourne, Vic 3800, Australia
基金
澳大利亚研究理事会; 英国医学研究理事会;
关键词
RECONSTRUCTION; PROTEIN; CLASSIFICATION; SOFTWARE; SUITE;
D O I
10.1093/bioinformatics/btz904
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: No rigorous statistical tests for detecting point-group symmetry in three-dimensional (3D) charge density maps obtained by electron microscopy (EM) and related techniques have been developed. Results: We propose a method for determining the point-group symmetry of 3D charge density maps obtained by EM and related techniques. Our ab initio algorithm does not depend on atomic coordinates but utilizes the density map directly. We validate the approach for a range of publicly available single-particle cryo-EM datasets. In straightforward cases, our method enables fully automated single-particle 3D reconstruction without having to input an arbitrarily selected point-group symmetry. When pseudo-symmetry is present, our method provides statistics quantifying the degree to which the 3D density agrees with the different point-groups tested.
引用
收藏
页码:2237 / 2243
页数:7
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