DocumentCode
3111729
Title
SubSS: A Protein-Protein Interaction Detection Tool
Author
Zaki, Nazar ; Deris, Safaai ; Alwahaishi, Saleh
Author_Institution
UAE Univ., Al Ain
fYear
2007
fDate
11-13 July 2007
Firstpage
999
Lastpage
1004
Abstract
Many essential cellular processes are mediated by protein-protein interaction the reason why predicting protein-protein interaction has recently received considerable attention from biologist around the globe. In this paper, we present a computational tool for detecting protein-protein interaction based on substring similarity measure. Two proteins may interact by the mean of the similarities of the substrings they contain. This friendly and easy to use tool helps biologist to distinguish between high confidence interactions from low confidence or unknown interactions. The tool performance is tested on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, and it delivered considerable improvement over the existing techniques.
Keywords
biology computing; cellular biophysics; microorganisms; molecular biophysics; proteins; cellular process; computational biology; protein-protein interaction detection; substring similarity measure; yeast Saccharomyces cerevisiae; Amino acids; Biology computing; Computer science; Educational institutions; Information systems; Information technology; Proteins; Sequences; Tellurium; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
Conference_Location
Melbourne, Qld.
Print_ISBN
0-7695-2841-4
Type
conf
DOI
10.1109/ICIS.2007.175
Filename
4276514
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