High precision alignment of cryo-electron subtomograms through gradient-based parallel optimization.

ABSTRACT:

Background

Cryo-electron tomography emerges as an important component for structural system biology. It not only allows the structural characterization of macromolecular complexes, but also the detection of their cellular localizations in near living conditions. However, the method is hampered by low resolution, missing data and low signal-to-noise ratio (SNR). To overcome some of these difficulties and enhance the nominal resolution one can align and average a large set of subtomograms. Existing methods for obtaining the optimal alignments are mostly based on an exhaustive scanning of all but discrete relative rigid transformations (i.e. rotations and translations) of one subtomogram with respect to the other.

Results

In this paper, we propose gradient-guided alignment meth

SUBMITTER: Xu M 

PROVIDER: S-EPMC3403359 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature