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Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04)
Local Approximate 3D Matching of Proteins in Viral Cryo-EM Density Maps
Thessaloniki, Greece
September 06-September 09
ISBN: 0-7695-2223-8
Stefan Burkhardt, Max-Planck Institute for Computer Science, Germany
Kimmo Fredriksson, University of Joensuu, Finland
Tuomas Ojamies, University of Helsinki, Finland
Janne Ravantti, University of Helsinki, Finland
Esko Ukkonen, University of Helsinki, Finland
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.
Citation:
Stefan Burkhardt, Kimmo Fredriksson, Tuomas Ojamies, Janne Ravantti, Esko Ukkonen, "Local Approximate 3D Matching of Proteins in Viral Cryo-EM Density Maps," 3dpvt, pp.979-986, Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04), 2004
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