DocumentCode
420057
Title
Local approximate 3D matching of proteins in viral cryo-EM density maps
Author
Burkhardt, Stefan ; Fredriksson, Kimmo ; Ojamies, Tuomas ; Ravantti, Janne ; Ukkonen, Esko
Author_Institution
Max-Planck Inst. for Comput. Sci., Saarbrucken, Germany
fYear
2004
fDate
6-9 Sept. 2004
Firstpage
979
Lastpage
986
Abstract
Experimental structure analysis of biological molecules (e.g, proteins) or macromolecular complexes (e.g, viruses) can be used to generate three-dimensional density maps of these entities. Such a density map can be viewed as a three-dimensional gray-scale image where space is subdivided in voxels of a given size. The focus of this paper is the analysis of virus density maps. The hull of a virus consists of many copies of one or several different proteins. An important tool for the study of viruses is cryo-electron microscopy (cryo-EM), a technique with insufficient resolution to directly determine the arrangement of the proteins in the virus. We therefore created a tool that locates proteins in the three-dimensional density map of a virus. The goal is to fully determine the locations and orientations of the protein(s) in the virus given the virus´ three-dimensional density map and a database of density maps of one or more protein candidates.
Keywords
electron microscopy; image matching; image resolution; microorganisms; molecular biophysics; proteins; solid modelling; 3D matching; biological molecule; gray-scale image; local approximation; proteins; viral cryo-EM density maps; Biotechnology; Computer science; Crystallography; Focusing; Gray-scale; Measurement errors; Microscopy; Object oriented databases; Proteins; Viruses (medical);
fLanguage
English
Publisher
ieee
Conference_Titel
3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on
Print_ISBN
0-7695-2223-8
Type
conf
DOI
10.1109/TDPVT.2004.1335422
Filename
1335422
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