Abstract
Biological regulatory networks contain several feedback and feed-forward loops controlling their dynamical behaviour. We just started to understand how regulatory modules of such networks can induce oscillations or create alternative steady states. Still, we do not really understand them until we cannot build such systems. We use mathematical modelling to design minimalistic regulatory networks that can drive both oscillations and biological switches. This will help us to come up with theories on the evolution of minimal biological regulatory networks and at the same time our results could be used to design more complex synthetic regulatory networks with various biological functions.
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