Title :
Node degree distribution in amino acid interaction networks
Author :
Gaci, Omar ; Balev, Stefan
Author_Institution :
LITIS Lab., Le Havre Univ., Le Havre, France
Abstract :
A protein interaction network 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 study the properties of these networks. In particular, we are interested in the degree distribution and mean degree of the vertices. The results presented in this paper constitute the first steps of a new network approach to the protein folding problem.
Keywords :
graph theory; molecular configurations; network theory (graphs); proteomics; amino acid interaction networks; graph edges; graph theory; graph vertex degree distribution; graph vertices; mean graph vertex degree; network approach; node degree distribution; protein amino acid interactions; protein amino acids; protein folding problem; protein interaction network; Amino acids; Biochemistry; Bioinformatics; Genomics; Graph theory; Laboratories; Molecular biophysics; Organisms; Proteins; Sequences; interaction network; protein structure; scale-free network;
Conference_Titel :
Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-5121-0
DOI :
10.1109/BIBMW.2009.5332113
