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Published Articles >> Table of Contents >> Abstract
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04)
pp. 979-986
Local Approximate 3D Matching of Proteins in Viral Cryo-EM Density Maps
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
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TDPVT.2004.1335422
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| Abstract |
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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.
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 Additional Information
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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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