Are Genetically Robust Regulatory Networks Dynamically Different from Random Ones?

X iv :q -b io /0 70 30 22 v2 [ qbi o. M N ] 1 7 M ar 2 00 8 Are Geneti ally Robust Regulatory Networks Dynami ally Di erent from Random Ones? Volkan Sevim1,2∗ and Per Arne Rikvold1† 1 S hool of Computational S ien e, Center for Materials Resear h and Te hnology, and Department of Physi s, Florida State University, Tallahassee, FL 32306-4120, USA 2 Physi s Department, Duke University, Durham, NC 27708, USA We study a geneti regulatory network model developed to demonstrate that geneti robustness an evolve through stabilizing sele tion for optimal phenotypes. We report preliminary results on whether su h sele tion ould result in a reorganization of the state spa e of the system. For the hosen parameters, the evolution moves the system slightly toward the more ordered part of the phase diagram. We also nd that strong memory e e ts ause the Derrida annealed approximation to give erroneous predi tions about the model's phase diagram.