DocumentCode :
1971120
Title :
Hubs identification in amino acids interaction networks
Author :
Gaci, Omar ; Balev, Stefan
Author_Institution :
Univ. du Havre, Le Havre
fYear :
2009
fDate :
10-13 May 2009
Firstpage :
96
Lastpage :
102
Abstract :
In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein´s amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the general scale-free network model and we analyze the existence of nodes with a high interaction level.
Keywords :
biology computing; graph theory; proteins; amino acids interaction networks; graph theory approach; hubs identification; protein interaction network; scale-free network model; Amino acids; Biochemistry; Bioinformatics; Genomics; Graph theory; Hydrogen; Molecular biophysics; Organisms; Proteins; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on
Conference_Location :
Rabat
Print_ISBN :
978-1-4244-3807-5
Electronic_ISBN :
978-1-4244-3806-8
Type :
conf
DOI :
10.1109/AICCSA.2009.5069310
Filename :
5069310
Link To Document :
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