Helical Reconstruction in RELION

Overview

Journal J Struct Biol

Specialties Cell Biology
Molecular Biology

Date 2017 Feb 15

PMID 28193500

Citations 291

Authors

Shaoda He

Sjors H W Scheres

Affiliations

Soon will be listed here.

Abstract

We describe a new implementation for the reconstruction of helical assemblies in the empirical Bayesian framework of RELION. Our approach calculates optimal linear filters for the 3D reconstruction by embedding helical symmetry operators in Fourier-space, and deals with deviations from perfect helical symmetry through Gaussian-shaped priors on the orientations of individual segments. By incorporating our approach into the standard pipeline for single-particle analysis in RELION, our implementation aims to be easily accessible for non-experienced users. Although our implementation does not solve the problem that grossly incorrect structures can be obtained when the wrong helical symmetry is imposed, we show for four different test cases that it is capable of reconstructing structures to near-atomic resolution.

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