A new model for Gene Regulatory Networks (GRN) is pro- posed. The model is potentially more biologically sound than other approaches, and is based on the idea of an artifi- cial genome from which several products like genes, mRNA, miRNA, non-coding RNA, and proteins are extracted. These products are connected giving rise to a heterogeneous di- rected graph. The topology of the obtained networks is stud- ied using degree distributions. We make some considerations about the biological meaning of the outcomes of these simu- lations.
Keywords
Gene Regulatory Networks
Subject
Artificial Life
Conference
11th International Conference on the Simulation and Synthesis of Living Systems (ALIFE XI), June 2008
Cited by
Year 2011 : 2 citations
P. Tonelli and J-B Mouret and S. Doncieux, Influence of promoter lenght on network convergence in GRN-based evolutionary algorithms, in Advances of Artificial Life, LNCS, Vol. 5778, 2011.
Y. Jin and Y. Meng, Morphogenetic robotics: an emerging new field in developmental robotics, in IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, Vol. 41, #2, March 2011.
Year 2010 : 1 citations
T. Hu and W. Banzhaf, Evolvability and speed of evolutionary algorithms in light of recent developments in biology, in Journal of Artificial Evolution and Applications, Vol. 2010, January 2010.
