Literature DB >> 24511926

Validity conditions for stochastic chemical kinetics in diffusion-limited systems.

Daniel T Gillespie1, Linda R Petzold2, Effrosyni Seitaridou3.   

Abstract

The chemical master equation (CME) and the mathematically equivalent stochastic simulation algorithm (SSA) assume that the reactant molecules in a chemically reacting system are "dilute" and "well-mixed" throughout the containing volume. Here we clarify what those two conditions mean, and we show why their satisfaction is necessary in order for bimolecular reactions to physically occur in the manner assumed by the CME and the SSA. We prove that these conditions are closely connected, in that a system will stay well-mixed if and only if it is dilute. We explore the implications of these validity conditions for the reaction-diffusion (or spatially inhomogeneous) extensions of the CME and the SSA to systems whose containing volumes are not necessarily well-mixed, but can be partitioned into cubical subvolumes (voxels) that are. We show that the validity conditions, together with an additional condition that is needed to ensure the physical validity of the diffusion-induced jump probability rates of molecules between voxels, require the voxel edge length to have a strictly positive lower bound. We prove that if the voxel edge length is steadily decreased in a way that respects that lower bound, the average rate at which bimolecular reactions occur in the reaction-diffusion CME and SSA will remain constant, while the average rate of diffusive transfer reactions will increase as the inverse square of the voxel edge length. We conclude that even though the reaction-diffusion CME and SSA are inherently approximate, and cannot be made exact by shrinking the voxel size to zero, they should nevertheless be useful in many practical situations.

Mesh:

Year:  2014        PMID: 24511926      PMCID: PMC3977787          DOI: 10.1063/1.4863990

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


  4 in total

1.  Reaction-diffusion master equation in the microscopic limit.

Authors:  Stefan Hellander; Andreas Hellander; Linda Petzold
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-04-03

2.  Stochastic modelling of reaction-diffusion processes: algorithms for bimolecular reactions.

Authors:  Radek Erban; S Jonathan Chapman
Journal:  Phys Biol       Date:  2009-08-21       Impact factor: 2.583

3.  Spatio-temporal correlations can drastically change the response of a MAPK pathway.

Authors:  Koichi Takahashi; Sorin Tanase-Nicola; Pieter Rein ten Wolde
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-25       Impact factor: 11.205

4.  Stochastic reaction-diffusion kinetics in the microscopic limit.

Authors:  David Fange; Otto G Berg; Paul Sjöberg; Johan Elf
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

  4 in total
  9 in total

1.  Reaction rates for mesoscopic reaction-diffusion kinetics.

Authors:  Stefan Hellander; Andreas Hellander; Linda Petzold
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-02-23

2.  Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art.

Authors:  David J Warne; Ruth E Baker; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

3.  A multiscale model of complex endothelial cell dynamics in early angiogenesis.

Authors:  Daria Stepanova; Helen M Byrne; Philip K Maini; Tomás Alarcón
Journal:  PLoS Comput Biol       Date:  2021-01-07       Impact factor: 4.475

4.  The small-voxel tracking algorithm for simulating chemical reactions among diffusing molecules.

Authors:  Daniel T Gillespie; Effrosyni Seitaridou; Carol A Gillespie
Journal:  J Chem Phys       Date:  2014-12-21       Impact factor: 3.488

Review 5.  Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches.

Authors:  Stephen Smith; Ramon Grima
Journal:  Bull Math Biol       Date:  2018-05-21       Impact factor: 1.758

Review 6.  Chemical Kinetics Roots and Methods to Obtain the Probability Distribution Function Evolution of Reactants and Products in Chemical Networks Governed by a Master Equation.

Authors:  José-Luis Muñoz-Cobo; Cesar Berna
Journal:  Entropy (Basel)       Date:  2019-02-14       Impact factor: 2.524

Review 7.  The life and death of RNA across temperatures.

Authors:  Attila Becskei; Sayanur Rahaman
Journal:  Comput Struct Biotechnol J       Date:  2022-08-08       Impact factor: 6.155

8.  Macromolecular crowding creates heterogeneous environments of gene expression in picolitre droplets.

Authors:  Maike M K Hansen; Lenny H H Meijer; Evan Spruijt; Roel J M Maas; Marta Ventosa Rosquelles; Joost Groen; Hans A Heus; Wilhelm T S Huck
Journal:  Nat Nanotechnol       Date:  2015-10-26       Impact factor: 39.213

9.  The Linear Noise Approximation for Spatially Dependent Biochemical Networks.

Authors:  Per Lötstedt
Journal:  Bull Math Biol       Date:  2018-04-11       Impact factor: 1.758

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.