Dissemin is shutting down on January 1st, 2025

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Oxford University Press (OUP), Bioinformatics, 13(27), p. i69-i76

DOI: 10.1093/bioinformatics/btr207

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Template-free detection of macromolecular complexes in cryo electron tomograms

Journal article published in 2011 by Min Xu, Martin Beck ORCID, Frank Alber
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

Motivation: Cryo electron tomography (CryoET) produces 3D density maps of biological specimen in its near native states. Applied to small cells, cryoET produces 3D snapshots of the cellular distributions of large complexes. However, retrieving this information is non-trivial due to the low resolution and low signal-to-noise ratio in tomograms. Current pattern recognition methods identify complexes by matching known structures to the cryo electron tomogram. However, so far only a small fraction of all protein complexes have been structurally resolved. It is, therefore, of great importance to develop template-free methods for the discovery of previously unknown protein complexes in cryo electron tomograms.