2012
DOI: 10.1063/1.4725180
|View full text |Cite
|
Sign up to set email alerts
|

Bistability in the chemical master equation for dual phosphorylation cycles

Abstract: Dual phospho/dephosphorylation cycles, as well as covalent enzymatic-catalyzed modifications of substrates are widely diffused within cellular systems and are crucial for the control of complex responses such as learning, memory and cellular fate determination. Despite the large body of deterministic studies and the increasing work aimed at elucidating the effect of noise in such systems, some aspects remain unclear. Here we study the stationary distribution provided by the two-dimensional Chemical Master Equa… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
17
0

Year Published

2013
2013
2024
2024

Publication Types

Select...
4
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 14 publications
(17 citation statements)
references
References 23 publications
0
17
0
Order By: Relevance
“…Finally, and most importantly, the results presented in this paper are meant to be applicable to the stochastic thermodynamics associated with the chemical master equation, 10,[27][28][29] where one typically deals with force constraints (encoded in the rates) rather than with current constraints. Chemostats play a central role in the derivation of advanced results in the stochastic theory of chemical reactions, such as the Fluctuation Theorem for the currents and the Green-Kubo relations.…”
Section: B Plan and Notationmentioning
confidence: 99%
“…Finally, and most importantly, the results presented in this paper are meant to be applicable to the stochastic thermodynamics associated with the chemical master equation, 10,[27][28][29] where one typically deals with force constraints (encoded in the rates) rather than with current constraints. Chemostats play a central role in the derivation of advanced results in the stochastic theory of chemical reactions, such as the Fluctuation Theorem for the currents and the Green-Kubo relations.…”
Section: B Plan and Notationmentioning
confidence: 99%
“…The experimental data observation technology, the sampling rate of data extraction, and the purpose of modeling significantly affect the choice of the genetic regulatory network model. We have observed that there is an inherent stochasticity in the generation of RNA and protein molecules, and further developments in observation of singular cell RNA and protein expressions will provide an impetus to detailed stochastic modeling . Some instances of cellular behavior that are hard to capture using the commonly used ODE models are alteration of dynamic behavior due to intrinsic noise, bistable behavior in gene expression, effect of delay on oscillations, or noise‐induced signal amplification and noise‐driven divergence of cell fates .…”
Section: Discussionmentioning
confidence: 99%
“…We then examined the steady state behavior of the system at two conditions of the copy numbers of species A and B: (a, b) = (10, 50) and (a, b) = (20,40). The probability landscape in − log(p(x, t)) for (a, b) = (10, 50) shown in Fig.…”
Section: Schnakenberg Modelmentioning
confidence: 99%