DocumentCode
2329764
Title
A dynamic graph to fold amino acid interaction networks
Author
Gaci, Omar
Author_Institution
LITIS Lab., Le Havre Univ., Le Havre, France
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
5
Abstract
In this paper, we present a means 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. Our approach consists in exploiting the parallel between topological and structural properties. Thus, we establish a relation between the sequence and the structure relying on topological criteria. To fold this type of graph, we limit the topological space and we exploit an ant colony approach. We consider those graphs as dynamic graphs so that we can observe gradually the graph properties during the folding process.
Keywords
biocomputing; graph theory; macromolecules; optimisation; proteins; ant colony approach; dynamic graph; fold amino acid interaction networks; protein amino acids; topological criteria; Amino acids; Arrays; Genomics; Prediction algorithms; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location
Barcelona
Print_ISBN
978-1-4244-6909-3
Type
conf
DOI
10.1109/CEC.2010.5586261
Filename
5586261
Link To Document