Literature DB >> 33582281

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

Ali Punjani1, David J Fleet2.   

Abstract

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 α-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.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Continuous heterogeneity; Electron microscopy; Expectation maximization algorithm; Image processing; Principle component analysis; Single particle analysis

Mesh:

Substances:

Year:  2021        PMID: 33582281     DOI: 10.1016/j.jsb.2021.107702

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


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