Title :
The Small-World Model for Amino Acid Interaction Networks
Author :
Gaci, Omar ; Balev, Stefan
Author_Institution :
Univ. du Havre, Le Havre, France
Abstract :
In this paper we introduce the notion of protein interaction network. This is a graph whose verticesare 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 small-world network model and we analyze their hierarchical structure.
Keywords :
graph theory; macromolecules; molecular biophysics; proteins; amino acid; graph theory; hierarchical structure; interaction networks; protein; small-world model; Amino acids; Biochemistry; Bioinformatics; Biological system modeling; Genomics; Graph theory; Hydrogen; Molecular biophysics; Organisms; Proteins; interaction network; protein structure; small-world network;
Conference_Titel :
Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-3999-7
Electronic_ISBN :
978-0-7695-3639-2
DOI :
10.1109/WAINA.2009.41
