Title :
Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks
Author :
Hallinan, Jennifer S. ; Wipat, Anil
Author_Institution :
Sch. of Comput. Sci., Newcastle Univ., Newcastle upon Tyne
Abstract :
The concept of a network motif-a small set of interacting genes which produce a predictable behaviour at the network level-has attracted considerable attention amongst network analysts. It is of particular interest to synthetic biology, a new discipline which aims to apply engineering principles to biological systems. The modular nature of network motifs would make them ideal candidates for the basic components of an engineered organism. In this paper we investigate the relationship between the presence of network motifs and oscillatory dynamics in a yeast transcriptional network and a set of computational networks, evolved to exhibit oscillatory behaviour. Our results do not support the hypothesis that network motifs are critical to network dynamics, possibly because they are tightly connected to many other components of the complex cell-wide transcriptional network.
Keywords :
biology computing; cellular biophysics; genetic engineering; microorganisms; molecular biophysics; biological systems; cell-wide network; computational networks; interacting genes; network dynamics; network motifs; oscillatory dynamics; synthetic biology; transcriptional networks; yeast transcriptional network; Biological systems; Biological tissues; Biology computing; Cells (biology); Circuits; Complex networks; Genetics; Network topology; Organisms; Synthetic biology;
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology, 2008. CIBCB '08. IEEE Symposium on
Conference_Location :
Sun Valley, ID
Print_ISBN :
978-1-4244-1778-0
Electronic_ISBN :
978-1-4244-1779-7
DOI :
10.1109/CIBCB.2008.4675763