Literature DB >> 24182089

Note: Parameter-independent bounding of the stochastic Michaelis-Menten steady-state intrinsic noise variance.

L A Widmer1, J Stelling, F J Doyle.   

Abstract

Using the (slow-scale) linear noise approximation, we give parameter-independent bounds to the substrate and product intrinsic noise variance for the stochastic Michaelis-Menten approximation at steady state.

Mesh：

Year:  2013        PMID： 24182089      PMCID： PMC3829885          DOI： 10.1063/1.4827496

Source DB:  PubMed          Journal:  J Chem Phys        ISSN： 0021-9606            Impact factor:   3.488


  8 in total

1.  Communication: limitations of the stochastic quasi-steady-state approximation in open biochemical reaction networks.

Authors:  Philipp Thomas; Arthur V Straube; Ramon Grima
Journal:  J Chem Phys       Date:  2011-11-14       Impact factor: 3.488

2.  A study of the accuracy of moment-closure approximations for stochastic chemical kinetics.

Authors:  Ramon Grima
Journal:  J Chem Phys       Date:  2012-04-21       Impact factor: 3.488

3.  Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions.

Authors:  R Grima
Journal:  Phys Rev Lett       Date:  2009-05-29       Impact factor: 9.161

4.  Legitimacy of the stochastic Michaelis-Menten approximation.

Authors:  K R Sanft; D T Gillespie; L R Petzold
Journal:  IET Syst Biol       Date:  2011-01       Impact factor: 1.615

5.  StochKit2: software for discrete stochastic simulation of biochemical systems with events.

Authors:  Kevin R Sanft; Sheng Wu; Min Roh; Jin Fu; Rone Kwei Lim; Linda R Petzold
Journal:  Bioinformatics       Date:  2011-07-04       Impact factor: 6.937

6.  Linear noise approximation is valid over limited times for any chemical system that is sufficiently large.

Authors:  E W J Wallace; D T Gillespie; K R Sanft; L R Petzold
Journal:  IET Syst Biol       Date:  2012-08       Impact factor: 1.615

7.  On the validity of the steady state assumption of enzyme kinetics.

Authors:  L A Segel
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

8.  The slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditions.

Authors:  Philipp Thomas; Arthur V Straube; Ramon Grima
Journal:  BMC Syst Biol       Date:  2012-05-14
  8 in total

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