Title :
Computational testing of protein-protein interactions
Author :
Katebi, Ataur R. ; Kloczkowski, Andrzej ; Jeringan, R.L.
Author_Institution :
L.H. Baker Center for Bioinf. & Biol. Stat., Iowa State Univ., Ames, IA, USA
Abstract :
Abundant protein interaction data are currently available. These interaction networks are important sources of information about how biological systems function. In the present work the yeast protein interaction network is clustered and the individual clusters are investigated for functional relationships among the member proteins. 3D structural models of the proteins in a cluster have been built. We investigate the docking of proteins within the cluster, verifying reported and predicting some unreported interactions.
Keywords :
biology computing; data handling; molecular biophysics; proteins; abundant protein interaction data; biological systems function; computational testing; protein-protein interactions; yeast protein interaction network; Bioinformatics; Biology computing; Clustering methods; Data mining; Fungi; Information resources; Matrix decomposition; Proteins; Statistics; Testing;
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.2009.5332118
