📝 SummarXiv

Abstract

Complex gene regulatory networks often display emergent simple behavior. Sometimes this simplicity can be traced to a nearly equivalent energy landscape, but not always. Here we show how topological theory for stochastic and biochemical networks can predict phase transitions between dynamical regimes, where the simplest landscape paradigm fails. We demonstrate the utility of this topological approach for a simple gene network, revealing a new oscillatory regime in addition to previously recognized multimodal phases. We show how local winding numbers predict the steady-state locations in the single and bimodal phases, and a flux analysis predicts the respective strengths of steady-state peaks.