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We specifically consider cellular transformation processes based on a bistable biochemical switch.
Cellular transformation processes are often based on a bistable biochemical or genetic switch.
As a possible mechanism to achieve this, we propose a generic transformation process based on a bistable stochastic switch.
In this article, the regulatory properties of time delay on gene switch and stochastic resonance are systematically studied based on a bistable gene transcriptional regulatory model.
In the last section, we have characterized the properties of the transformation process based on a bistable switch, with the depletion time of a pool of cells subject to the transformation as characteristic output of the model.
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A mouse trap based on a compliant bistable mechanism (BM) is developed in this investigation.
Based on a genetic bistable switch model coupled with a gene oscillator model, we have constructed a mesoscopic stochastic model for the coupled synthetic gene network, and studied how internal noise would influence the oscillation of such a system.
Such a dynamical bistable behavior is impossible in bistable systems based on a classical deterministic description or without the prescribed external noise introduced into degradation terms [ 40].
The model of a bistable switch that we use is based on a positive feedback loop between two components.
In this design, each device element was based on a suspended, crossed nanotube geometry that leads to bistable, electrostatically switchable on/off states.
In this contribution we present a stochastic treatment of bistable switching generated by a reaction network based on a kinase and a phosphatase that phosphorylate and dephosphorylate, respectively, a substrate at multiple sites.
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