Literature DB >> 28510113

Stochastic chemical kinetics : A review of the modelling and simulation approaches.

Paola Lecca1.   

Abstract

A review of the physical principles that are the ground of the stochastic formulation of chemical kinetics is presented along with a survey of the algorithms currently used to simulate it. This review covers the main literature of the last decade and focuses on the mathematical models describing the characteristics and the behavior of systems of chemical reactions at the nano- and micro-scale. Advantages and limitations of the models are also discussed in the light of the more and more frequent use of these models and algorithms in modeling and simulating biochemical and even biological processes.

Keywords:  Biochemical systems; Chemical kinetics; Hybrid simulation methods; Markov processes; Spatio-temporal algorithms; Stochastic simulation algorithms

Year:  2013        PMID: 28510113      PMCID: PMC5425731          DOI: 10.1007/s12551-013-0122-2

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  20 in total

1.  Fluctuations and slow variables in genetic networks.

Authors:  R Bundschuh; F Hayot; C Jayaprakash
Journal:  Biophys J       Date:  2003-03       Impact factor: 4.033

2.  Bridging the gap between stochastic and deterministic regimes in the kinetic simulations of the biochemical reaction networks.

Authors:  Jacek Puchałka; Andrzej M Kierzek
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

3.  Hybrid simulation of cellular behavior.

Authors:  Thomas R Kiehl; Robert M Mattheyses; Melvin K Simmons
Journal:  Bioinformatics       Date:  2004-02-12       Impact factor: 6.937

4.  Time accelerated Monte Carlo simulations of biological networks using the binomial tau-leap method.

Authors:  Abhijit Chatterjee; Kapil Mayawala; Jeremy S Edwards; Dionisios G Vlachos
Journal:  Bioinformatics       Date:  2005-02-04       Impact factor: 6.937

5.  Efficient step size selection for the tau-leaping simulation method.

Authors:  Yang Cao; Daniel T Gillespie; Linda R Petzold
Journal:  J Chem Phys       Date:  2006-01-28       Impact factor: 3.488

6.  Incorporating postleap checks in tau-leaping.

Authors:  David F Anderson
Journal:  J Chem Phys       Date:  2008-02-07       Impact factor: 3.488

7.  A new class of highly efficient exact stochastic simulation algorithms for chemical reaction networks.

Authors:  Rajesh Ramaswamy; Nélido González-Segredo; Ivo F Sbalzarini
Journal:  J Chem Phys       Date:  2009-06-28       Impact factor: 3.488

Review 8.  Kinetic modeling of biological systems.

Authors:  Haluk Resat; Linda Petzold; Michel F Pettigrew
Journal:  Methods Mol Biol       Date:  2009

9.  Designer gene networks: Towards fundamental cellular control.

Authors:  Jeff Hasty; Farren Isaacs; Milos Dolnik; David McMillen; J. J. Collins
Journal:  Chaos       Date:  2001-03       Impact factor: 3.642

10.  Hybrid stochastic simulations of intracellular reaction-diffusion systems.

Authors:  Georgios Kalantzis
Journal:  Comput Biol Chem       Date:  2009-04-02       Impact factor: 2.877

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  7 in total

1.  Concurrent reduction-adsorption of chromium using m-phenylenediamine-modified magnetic chitosan: kinetics, isotherm, and mechanism.

Authors:  Zhonghao Wan; Meng Li; Qian Zhang; Zixi Fan; Francis Verpoort
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-20       Impact factor: 4.223

2.  Agent-based computational model of retinal angiogenesis simulates microvascular network morphology as a function of pericyte coverage.

Authors:  Joseph Walpole; Feilim Mac Gabhann; Shayn M Peirce; John C Chappell
Journal:  Microcirculation       Date:  2017-11       Impact factor: 2.679

3.  High-Throughput Miniaturized 16S rRNA Amplicon Library Preparation Reduces Costs while Preserving Microbiome Integrity.

Authors:  Jeremiah J Minich; Greg Humphrey; Rodolfo A S Benitez; Jon Sanders; Austin Swafford; Eric E Allen; Rob Knight
Journal:  mSystems       Date:  2018-11-06       Impact factor: 6.496

4.  Bayesian inference and comparison of stochastic transcription elongation models.

Authors:  Jordan Douglas; Richard Kingston; Alexei J Drummond
Journal:  PLoS Comput Biol       Date:  2020-02-14       Impact factor: 4.475

Review 5.  Variability in Retinal Neuron Populations and Associated Variations in Mass Transport Systems of the Retina in Health and Aging.

Authors:  Moussa A Zouache
Journal:  Front Aging Neurosci       Date:  2022-02-25       Impact factor: 5.750

6.  Phenotype-based probabilistic analysis of heterogeneous responses to cancer drugs and their combination efficacy.

Authors:  Natacha Comandante-Lou; Mehwish Khaliq; Divya Venkat; Mohan Manikkam; Mohammad Fallahi-Sichani
Journal:  PLoS Comput Biol       Date:  2020-02-21       Impact factor: 4.475

7.  Heterogeneity in VEGF Receptor-2 Mobility and Organization on the Endothelial Cell Surface Leads to Diverse Models of Activation by VEGF.

Authors:  Bruno da Rocha-Azevedo; Sungsoo Lee; Aparajita Dasgupta; Anthony R Vega; Luciana R de Oliveira; Tae Kim; Mark Kittisopikul; Zachariah A Malik; Khuloud Jaqaman
Journal:  Cell Rep       Date:  2020-09-29       Impact factor: 9.423

  7 in total

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