Image processing techniques for high-resolution structure determination from badly ordered 2D crystals.

Details

Serval ID
serval:BIB_6A0A041ED634
Type
Article: article from journal or magazin.
Collection
Publications
Title
Image processing techniques for high-resolution structure determination from badly ordered 2D crystals.
Journal
Journal of structural biology
Author(s)
Biyani N., Scherer S., Righetto R.D., Kowal J., Chami M., Stahlberg H.
ISSN
1095-8657 (Electronic)
ISSN-L
1047-8477
Publication state
Published
Issued date
08/2018
Peer-reviewed
Oui
Volume
203
Number
2
Pages
120-134
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
2D electron crystallography can be used to study small membrane proteins in their native environment. Obtaining highly ordered 2D crystals is difficult and time-consuming. However, 2D crystals diffracting to only 10-12 Å can be prepared relatively conveniently in most cases. We have developed image-processing algorithms allowing to generate a high resolution 3D structure from cryo-electron crystallography images of badly ordered crystals. These include movie-mode unbending, refinement over sub-tiles of the images in order to locally refine the sample tilt geometry, implementation of different CTF correction schemes, and an iterative method to apply known constraints in the real and reciprocal space to approximate amplitudes and phases in the so-called missing cone regions. These algorithms applied to a dataset of the potassium channel MloK1 show significant resolution improvements to better than 5 Å.
Keywords
Algorithms, Cryoelectron Microscopy/methods, Crystallography, X-Ray/methods, Image Processing, Computer-Assisted/methods, Membrane Proteins/chemistry, Membrane Proteins/ultrastructure, Software, CTF correction, Direct electron detector, Dose-fractionation, Electron crystallography, Gatan K2 summit, Membrane proteins, Missing cone, Movie-mode processing, Projective constraint optimization, Shrinkwrap refinement, Tiled image processing
Pubmed
Web of science
Open Access
Yes
Create date
09/06/2023 16:02
Last modification date
08/07/2023 6:50
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