Title :
Ant colony approach to predict amino acid interaction networks
Author :
Gaci, Omar ; Balev, Stefan
Author_Institution :
LITIS Lab., Le Havre Univ., Le Havre, France
Abstract :
In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. We consider the problem of reconstructing protein´s interaction network from its amino acid sequence. An ant colony approach is used to solve this problem.
Keywords :
macromolecules; optimisation; proteins; amino acid interaction networks; amino acid sequence; ant colony approach; biological macromolecules; protein interaction network reconstruction problem; Amino acids; Biochemistry; Bioinformatics; Chemical processes; Genomics; Laboratories; Molecular biophysics; Organisms; Proteins; Sequences;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393624
