Title :
A Relational Approach for Pathway Analysis
Author :
Ashby, Cody ; Huang, Xiuzhen ; Jenness, Jeff ; Kerby, Joseph
Author_Institution :
Arkansas State Univ., Jonesboro, AR
Abstract :
The relationship between interacting proteins can be represented using graphical network models. Comparison of models of similar protein networks can reveal important information about conserved protein interactions. The problem of determining conserved pathways between protein interaction networks are challenging and for large protein interaction networks are very computationally intensive. This paper developed and implemented a new relational approach for pathway analysis between protein interaction networks. Compared with the current known approaches, this relational approach is very computationally efficient.
Keywords :
biology computing; molecular biophysics; proteins; conserved protein interactions; graphical network models; pathway analysis; protein networks; relational approach; Biochemistry; Bioinformatics; Biological system modeling; Cellular networks; Color; Computer networks; Gene expression; Organisms; Protein engineering; Signal processing;
Conference_Titel :
Computer and Computational Sciences, 2008. IMSCCS '08. International Multisymposiums on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3430-5
DOI :
10.1109/IMSCCS.2008.27