Title :
How to Fold Amino Acid Interaction Networks by Computational Intelligence Methods
Author_Institution :
LITIS Lab., Le Havre Univ., Le Havre, France
fDate :
May 31 2010-June 3 2010
Abstract :
In this paper we present the main steps to fold amino acid interaction networks. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. We begin by summarize relative works about this type of graphs to describe their topological properties. Then, we propose a genetic algorithm which reconstructs the secondary structure motifs. We continue our folding process with an ant colony approach. We guide the ant system to the tertiary structure relying on a probability that two amino acids interact as a function of their physico-chemical properties.
Keywords :
biochemistry; bioinformatics; genetic algorithms; genetics; genomics; graph theory; proteins; proteomics; amino acid interaction networks; ant colony approach; computational intelligence methods; folding process; genetic algorithm; genome sequencing; graph; physico-chemical properties; proteins; secondary structure motifs; tertiary structure; topological properties; vertices; Amino acids; Bioinformatics; Biological information theory; Biomedical engineering; Computational intelligence; Genetic algorithms; Genomics; Humans; Laboratories; Proteins; ant colony; genetic algorithm; interaction networks; protein structure;
Conference_Titel :
BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4244-7494-3
DOI :
10.1109/BIBE.2010.33