Title :
Towards Biological Modules Identification: An Application of Elementary Flux Mode Analysis
Author :
Ding De-wu ; He Xiao-qing
Author_Institution :
Dept. of Math. & Comput. Sci., Chizhou Coll., Chizhou, China
Abstract :
There are lots of attempts to obtain functional modules in biological networks based on graph theory. However, biological networks differ from general graphs (or complex networks), and thus in most cases, these attempts can not obtain suitable units with biological significance. Herein, after the introduction of the basic for elementary flux mode (EFM) analysis, we analyze the vitamin B2 metabolism. We found that elementary flux mode analysis could identify biologically functional modules in biological networks.
Keywords :
biochemistry; graph theory; molecular biophysics; EFM analysis; biological modules identification; biological networks; elementary flux mode analysis; graph theory; vitamin B2 metabolism; Biochemistry; Chemical elements; Communities; Complex networks; Electronics packaging; Production;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873456
