Journal
JOURNAL OF STRUCTURAL BIOLOGY
Volume 156, Issue 3, Pages 432-441Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2006.05.013
Keywords
segmentation; electron cryomicroscopy; macromolecular complexes; structure
Funding
- NCRR NIH HHS [P20RR020647, P41RR02250] Funding Source: Medline
- NIGMS NIH HHS [R01GM073087, R01GM074258] Funding Source: Medline
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Electron cryomicroscopy (cryoEM) is capable of imaging large macromolecular machines composed of multiple components. However, it is currently only possible to achieve moderate resolution at which it may be possible to computationally extract the individual components in the machine. In this work, we present application details of an automated method for detecting and segmenting the components of a large machine in an experimentally determined density map. This method is applicable to object with and without symmetry and takes advantage of global and local symmetry axes if present. We have applied this segmentation algorithm to several cryoEM data sets already deposited in EMDB with various complexities, symmetries and resolutions and validated the results using manually segmented density and available structures of the components in the PDB. As such, automated segmentation could become a useful tool for the analysis of the ever-increasing number of structures of macromolecular machines derived from cryoEM. (c) 2006 Elsevier Inc. All rights reserved.
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