Title :
Comparative Analysis of Motifs in Giant Strong Component of Metabolic Networks
Author :
Liu, Wei ; Ding, Dewu
Author_Institution :
Dept. of Modern Educ. Technol. & Teaching, Ludong Univ., Yantai, China
Abstract :
In this paper, comparison of network motifs in giant strong component (GSC) of metabolic networks is proposed and presented. Firstly, the use of metabolic reaction data to generate metabolic networks of 10 organisms from different categories is achieved. Subsequently, the GSC of each metabolic network was extracted and the network motifs of these GSCs are studied. The results showed that the motifs found are different among taxonomies, but quite consistent within the taxonomy. It suggested that analysis of network motifs in GSCs might more helpful to understand fundamental organizational principles of metabolic networks.
Keywords :
biology computing; giant strong component; metabolic network; metabolic reaction data; network motifs; taxonomy; Biochemistry; Complex networks; Computational intelligence; Computer networks; Computer science education; Databases; Organisms; Statistics; Systems biology; Taxonomy; giant strong component; metabolic networks; motif; systems biology;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.231