Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence.

@article{citeulike:2723850, abstract = {Topological measures of large-scale complex networks are applied to a specific artificial regulatory network model created through a whole genome duplication and divergence mechanism. This class of networks share topological features with natural transcriptional regulatory networks. Specifically, these networks display scale-free and small-world topology and possess subgraph distributions similar to those of natural networks. Thus, the topologies inherent in natural networks may be in part due to their method of creation rather than being exclusively shaped by subsequent evolution under selection. The evolvability of the dynamics of these networks is also examined by evolving networks in simulation to obtain three simple types of output dynamics. The networks obtained from this process show a wide variety of topologies and numbers of genes indicating that it is relatively easy to evolve these classes of dynamics in this model.}, address = {Department of Computer Science, Memorial University of Newfoundland, St John's, NL, Canada. kuo@cs.mun.ca}, author = {Dwight Kuo, P. and Banzhaf, W. and Leier, A. }, citeulike-article-id = {2723850}, doi = {10.1016/j.biosystems.2006.01.004}, issn = {0303-2647}, journal = {Bio Systems}, keywords = {systemsbiology}, month = {September}, number = {3}, pages = {177--200}, posted-at = {2008-04-27 13:56:13}, priority = {4}, title = {Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence.}, url = {http://dx.doi.org/10.1016/j.biosystems.2006.01.004}, volume = {85}, year = {2006} }

TY - JOUR ID - citeulike:2723850 L3 - citeulike-article-id:2723850 TI - Network topology and the evolution of dynamics in an artificial genetic regulatory network model created by whole genome duplication and divergence. JF - Bio Systems VL - 85 IS - 3 SP - 177 EP - 200 AD - Department of Computer Science, Memorial University of Newfoundland, St John's, NL, Canada. kuo@cs.mun.ca SN - 0303-2647 N2 - Topological measures of large-scale complex networks are applied to a specific artificial regulatory network model created through a whole genome duplication and divergence mechanism. This class of networks share topological features with natural transcriptional regulatory networks. Specifically, these networks display scale-free and small-world topology and possess subgraph distributions similar to those of natural networks. Thus, the topologies inherent in natural networks may be in part due to their method of creation rather than being exclusively shaped by subsequent evolution under selection. The evolvability of the dynamics of these networks is also examined by evolving networks in simulation to obtain three simple types of output dynamics. The networks obtained from this process show a wide variety of topologies and numbers of genes indicating that it is relatively easy to evolve these classes of dynamics in this model. KW - systemsbiology AU - Dwight Kuo, P AU - Banzhaf, W AU - Leier, A PY - 2006/09// UR - http://dx.doi.org/10.1016/j.biosystems.2006.01.004 ER -