Conference Proceeding

Location proteomics: determining the optimal grouping of proteins according to their subcellular location patterns as determined from fluorescence microscope images

Dept. of Biol. Sci. & Biomed. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
12/2004; DOI:10.1109/ACSSC.2004.1399085 ISBN: 0-7803-8622-1 In proceeding of: Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on, Volume: 1
Source: IEEE Xplore

ABSTRACT Modeling of protein functions as envisaged by systems biology requires detailed knowledge about the subcellular distributions of all proteins. Unfortunately, such knowledge is limited or nonexistent for most proteins. Further, the available information is often of low resolution, distinguishing major organelles but not adequately capturing the incredible complexity of possible protein patterns. Our group has previously developed automated systems for determining subcellular location from fluorescence microscope images; these systems can discriminate between similar patterns better than humans. We have also developed approaches to grouping proteins by the patterns they display in 3D confocal microscope images.

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Keywords

available information
 
distinguishing major organelles
 
fluorescence microscope images
 
grouping proteins
 
humans
 
incredible complexity
 
nonexistent
 
possible protein patterns
 
protein functions
 
similar patterns
 
subcellular distributions
 
subcellular location
 
systems
 
systems biology