Dresden 2017 – scientific programme

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DY: Fachverband Dynamik und Statistische Physik

DY 58: Posters - Networks

DY 58.3: Poster

Thursday, March 23, 2017, 17:00–19:30, P1A

Biologically implementable cycles in a Boolean model of gene regulation — •David F. Klosik and Stefan Bornholdt — Institut für Theoretische Physik, Universität Bremen

Gene regulatory networks have to be implemented in an inherently noisy environment, yet have to perform their regulatory tasks in a very reliable fashion. The main dynamical features of a number of biological regulatory networks (e.g., the cell-cycle sequence in yeast) seem to be well captured in terms of Boolean (threshold) networks with a parallel update scheme. Assuming that the sequence or the underlying network are unknown, we here approach the question of which pairs of cycles and graphs yield reliable results under noisy signal transmission in an autonomous Boolean network model with underlying continuous dynamics, that has previously been applied to simulating biochemical stochasticity in regulatory networks [1].

[1] S. Braunewell and S. Bornholdt, Superstability of the yeast cell-cycle dynamics: Ensuring causality in the presence of biochemical stochasticity, J. Theor. Biol. 245 (2007) 638-643.