DocumentCode :
2581048
Title :
Exploiting Geometrical Properties on Protein Similarity Search
Author :
Akbar, Saiful ; Küng, Josef ; Wagner, Roland
Author_Institution :
FAW, Johannes Kepler Univ., Linz
fYear :
0
fDate :
0-0 0
Firstpage :
228
Lastpage :
234
Abstract :
This paper discusses about several combinations of protein similarity measurement-methods, with respect to normalization, spatial partitions, geometrical properties, and distance metrics. We compare the effectiveness of possible combinations to each other. Our experiment shows that the feature based on fractional occupancy outperforms other methods. In addition, merging individual features might also yield good result. A prototype of 3D protein geometrical-similarity retrieval system is built for implementing our approach
Keywords :
biology computing; geometry; information retrieval systems; merging; proteins; 3D protein geometrical-similarity retrieval system; distance metrics; fractional occupancy; geometrical property; protein similarity measurement; protein similarity search; spatial partition; Counting circuits; Drugs; Geometry; Histograms; Merging; Nuclear magnetic resonance; Protein engineering; Prototypes; Shape; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
Conference_Location :
Krakow
ISSN :
1529-4188
Print_ISBN :
0-7695-2641-1
Type :
conf
DOI :
10.1109/DEXA.2006.56
Filename :
1698340
Link To Document :
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