Analysis of discrete local variability and structural covariance in macromolecular assemblies using Cryo-EM and focused classification.

ABSTRACT: Single-particle electron cryo-microscopy and computational image classification can be used to analyze structural variability in macromolecules and their assemblies. In some cases, a particle may contain different regions that each display a range of distinct conformations. We have developed strategies, implemented within the Frealign and cisTEM image processing packages, to focus-classify on specific regions of a particle and detect potential covariance. The strategies are based on masking the region of interest using either a 2-D mask applied to reference projections and particle images, or a 3-D mask applied to the 3-D volume. We show that focused classification approaches can be used to study structural covariance, a concept that is likely to gain more importance as datasets grow in si

SUBMITTER: Zhang C 

PROVIDER: S-EPMC6476647 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature