3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM

被引:530
作者
Punjani, Ali [1 ,2 ,3 ]
Fleet, David J. [1 ,2 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 3G4, Canada
[2] Vector Inst, 710661 Univ Ave, Toronto, ON M5G 1M1, Canada
[3] Struct Biotechnol Inc, 129-100 Coll Ave, Toronto, ON M5G 1L5, Canada
关键词
Single particle analysis; Electron microscopy; Principle component analysis; Continuous heterogeneity; Image processing; Expectation maximization algorithm; CONFORMATIONAL STATES; REFINEMENT; MACROMOLECULES; ALGORITHMS; VIEW;
D O I
10.1016/j.jsb.2021.107702
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Single particle cryo-EM excels in determining static structures of protein molecules, but existing 3D reconstruction methods have been ineffective in modelling flexible proteins. We introduce 3D variability analysis (3DVA), an algorithm that fits a linear subspace model of conformational change to cryo-EM data at high resolution. 3DVA enables the resolution and visualization of detailed molecular motions of both large and small proteins, revealing new biological insight from single particle cryo-EM data. Experimental results demonstrate the ability of 3DVA to resolve multiple flexible motions of a-helices in the sub-50 kDa transmembrane domain of a GPCR complex, bending modes of a sodium ion channel, five types of symmetric and symmetry-breaking flexibility in a proteasome, large motions in a spliceosome complex, and discrete conformational states of a ribosome assembly. 3DVA is implemented in the cryoSPARC software package.
引用
收藏
页数:14
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