| Literature DB >> 33582281 |
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.Entities:
Keywords: Continuous heterogeneity; Electron microscopy; Expectation maximization algorithm; Image processing; Principle component analysis; Single particle analysis
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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