Are Genetically Robust Regulatory Networks Dynamically Different from Random Ones?

Details Are Genetically Robust Regulatory Networks Dynamically Different from Random Ones? Are Genetically Robust Regulatory Networks Dynamically Different from Random Ones?

2007-03-09

arxiv.org/abs/q-bio/0703022v2

Physics Procedia 7, 93-97 (2010)

Biology

Quantitative Biology

Molecular Networks

To be published in Computer Simulation Studies in Condensed-Matter Physics XX. Ed. by D.P. Landau, S. P. Lewis, H.-B. Schuttle

Scientific paper

10.1016/j.phpro.2010.09.051

We study a genetic regulatory network model developed to demonstrate that genetic robustness can evolve through stabilizing selection for optimal phenotypes. We report preliminary results on whether such selection could result in a reorganization of the state space of the system. For the chosen parameters, the evolution moves the system slightly toward the more ordered part of the phase diagram. We also find that strong memory effects cause the Derrida annealed approximation to give erroneous predictions about the model's phase diagram.

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