Correlated noise-based switches and stochastic resonance in a bistable genetic regulation system

Can-Jun Wang () and Ke-Li Yang
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Can-Jun Wang: Nonlinear Research Institute, Baoji University of Arts and Sciences
Ke-Li Yang: Nonlinear Research Institute, Baoji University of Arts and Sciences

The European Physical Journal B: Condensed Matter and Complex Systems, 2016, vol. 89, issue 8, 1-11

Abstract: Abstract The correlated noise-based switches and stochastic resonance are investigated in a bistable single gene switching system driven by an additive noise (environmental fluctuations), a multiplicative noise (fluctuations of the degradation rate). The correlation between the two noise sources originates from on the lysis-lysogeny pathway system of the λ phage. The steady state probability distribution is obtained by solving the time-independent Fokker-Planck equation, and the effects of noises are analyzed. The effects of noises on the switching time between the two stable states (mean first passage time) is investigated by the numerical simulation. The stochastic resonance phenomenon is analyzed by the power amplification factor. The results show that the multiplicative noise can induce the switching from “on” → “off” of the protein production, while the additive noise and the correlation between the noise sources can induce the inverse switching “off” → “on”. A nonmonotonic behaviour of the average switching time versus the multiplicative noise intensity, for different cross-correlation and additive noise intensities, is observed in the genetic system. There exist optimal values of the additive noise, multiplicative noise and cross-correlation intensities for which the weak signal can be optimal amplified.

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1140/epjb/e2016-70224-2

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