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

Biyani, Nikhil and Scherer, Sebastian and Righetto, Ricardo D. and Kowal, Julia and Chami, Mohamed and Stahlberg, Henning. (2018) Image processing techniques for high-resolution structure determination from badly ordered 2D crystals. Journal of Structural Biology, 203 (2). pp. 120-134.

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Official URL: https://edoc.unibas.ch/64952/

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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.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Structural Biology (Stahlberg)
05 Faculty of Science > Departement Biozentrum > Services Biozentrum > BioEM Lab (Chami)
UniBasel Contributors:Stahlberg, Henning and Chami, Mohamed
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:1047-8477
e-ISSN:1095-8657
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:24 Aug 2020 10:24
Deposited On:26 Apr 2020 21:40

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