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Software for Electron Crystallography
Third-party funded project
Project title Software for Electron Crystallography
Principal Investigator(s) Stahlberg, Henning
Organisation / Research unit Departement Biozentrum / Structural Biology (Stahlberg)
Project start 01.10.2009
Probable end 30.09.2012
Status Completed
Abstract

SNF - Software for Electron Crystallography

Membrane proteins are central to health and disease. Electron crystallography can determine the high-resolution structure of membrane proteins from membrane-reconstituted and two-dimensionally crystallized protein. The Transmission Electron Microscope (TEM) is used to study membrane proteins in the lipid membrane environment, which is a powerful tool to study the structure and dynamic of membrane proteins, and of membrane protein complexes that still resist high-resolution 3D crystallization or large-quantity expression efforts.

Two-dimensional membrane crystals are imaged by cryo-electron microscopy (cryo-EM). The high-resolution 3D membrane protein structure can then be reconstructed by computer image processing. Until recently, the only available software for that task was the MRC software (Crowther et al., 1996). Starting in 2003, my group has created a software system, called 2dx, which embeds the MRC software into a user-friendly graphical user interface, and in addition offers a multitude of additional functions that enable full automation of the processing task, user guidance, interactive documentation and help, and allows automated iterative refinement of the processing results. 2dx received good acceptance in and excellent feedback from the electron crystallography community, and we now count more than 240 external users (as of 1/15/2009).

We here propose to extend the 2dx software by new algorithms, to increase resolution and speed of the membrane protein structure determination by electron crystallography, and to enable high-resolution structure determination also from badly ordered 2D crystals. We will implement a single-particle approach for 3D reconstructions from tilted 2D crystal images, and extend this by a maximum likelihood algorithm. We will develop a hybrid input output algorithm implementation to improve the Z resolution of electron crystallography, and to reduce the need to record images of highly tilted 2D crystals. We will also modernize 2dx, by enabling cluster CPU and cluster GPU computing, and interface it with other systems like Eman2 and IPLT.

Financed by Swiss National Science Foundation (SNSF)
   

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