Dynamic Behaviors And Mechanisms Of Typical Genetic Regulatory Networks

It,is well known that noise plays an important role in genetic regulatory networks It can not only affect the overall characteristics of the genetic regulatory networks,but also produce unique functions through the self-organism organization.In this paper,we study the dynamic behaviors and mechanisms of typical genetic regulatory networks from the perspective of stochastic resonance(SR)and energy landscape.Firstly,the charac-teristic correlation time tCCT is used to explore the SR phenomenon under Levy noise We simulate the concentrations changes of mRNAs and repressor-proteins under different parameters.indicating that noise can induce oscillations of inRNAs and repressor-proteins concentrations.We also present SR effects in dependence on the four different intrinsic parameters and Levy noise intensities.Our results uncover that the trend of noise on the SR of mRXAs and repressor-proteins is similar.We can achieve simultaneously regulation and optimization of mRNAs and repressor-proteins in genetic regulatory through the SR mechanism.We discover that the stability parameter ? has a parallel effect on the scale factor ?.and their increase within a certain range can promote the optimal coordination of SR.In addition,the location parameter ? and the skewness parameter ? have great benefits for the resonance effect;their increase can suppress the optimal cooperation of SR.Hence,the stimulation of Levy noise is crucial to gene expression in geneticregulatory networks.Secondly,we visually demonstrate and analyze the steady-state transition of the bistable system in the way of energy landscape,and explain the influence of noise and system parameter on it.We also use MFPT to explain its negative correlation with noise intensity.Our method enriches the study of the dynamic mechanisms in genetic regulatory networks.In summary,the obtained results can provide a viable path for further biological mechanisms.