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Ramon Grima
Ramon Grima
Professor of Computational Biology, University of Edinburgh, UK
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
D Schnoerr, G Sanguinetti, R Grima
Journal of Physics A: Mathematical and Theoretical 50 (9), 093001, 2017
2972017
Phenotypic switching in gene regulatory networks
P Thomas, N Popović, R Grima
Proceedings of the National Academy of Sciences 111 (19), 6994-6999, 2014
1552014
An effective rate equation approach to reaction kinetics in small volumes: Theory and application to biochemical reactions in nonequilibrium steady-state conditions
R Grima
The Journal of chemical physics 133, 035101, 2010
1452010
How accurate are the nonlinear chemical Fokker-Planck and chemical Langevin equations?
R Grima, P Thomas, AV Straube
The Journal of chemical physics 135 (8), 084103, 2011
1412011
A systematic investigation of the rate laws valid in intracellular environments
R Grima, S Schnell
Biophysical chemistry 124 (1), 1-10, 2006
1412006
Multiscale Modeling in Biology New insights into cancer illustrate how mathematical tools are enhancing the understanding of life from the smallest scale to the grandest
S Schnell, R Grima, P Maini
Am Sci 95 (2), 134-142, 2007
1352007
A study of the accuracy of moment-closure approximations for stochastic chemical kinetics
R Grima
Journal of Chemical Physics 136, 154105, 2012
1322012
Steady-state fluctuations of a genetic feedback loop: An exact solution
R Grima, DR Schmidt, TJ Newman
Journal of Chemical Physics 137, 035104, 2012
1302012
Many-body theory of chemotactic cell-cell interactions
TJ Newman, R Grima
Physical Review E 70 (5), 051916, 2004
1232004
The slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditions
P Thomas, AV Straube, R Grima
BMC systems biology 6 (1), 39, 2012
1222012
Comparison of different moment-closure approximations for stochastic chemical kinetics
D Schnoerr, G Sanguinetti, R Grima
The Journal of chemical physics 143, 185101, 2015
1152015
Spontaneous spatiotemporal waves of gene expression from biological clocks in the leaf
B Wenden, DLK Toner, SK Hodge, R Grima, AJ Millar
Proceedings of the National Academy of Sciences 109 (17), 6757-6762, 2012
1102012
Modelling reaction kinetics inside cells
R Grima, S Schnell
Essays in biochemistry 45, 41-56, 2008
103*2008
Linear mapping approximation of gene regulatory networks with stochastic dynamics
Z Cao, R Grima
Nature Communications 9 (1), 3305, 2018
932018
Analytical distributions for detailed models of stochastic gene expression in eukaryotic cells
Z Cao, R Grima
Proceedings of the National Academy of Sciences 117 (9), 4682-4692, 2020
922020
Noise-induced breakdown of the Michaelis-Menten equation in steady-state conditions
R Grima
Physical review letters 102 (21), 218103, 2009
832009
Stochastic simulation of biomolecular networks in dynamic environments
M Voliotis, P Thomas, R Grima, CG Bowsher
PLoS computational biology 12 (6), e1004923, 2016
772016
Inference for stochastic chemical kinetics using moment equations and system size expansion
F Fröhlich, P Thomas, A Kazeroonian, FJ Theis, R Grima, J Hasenauer
PLoS computational biology 12 (7), e1005030, 2016
762016
The complex chemical Langevin equation
D Schnoerr, G Sanguinetti, R Grima
The Journal of chemical physics 141, 024103, 2014
762014
Arabidopsis cell expansion is controlled by a photothermal switch
H Johansson, HJ Jones, J Foreman, JR Hemsted, K Stewart, R Grima, ...
Nature communications 5, 4848, 2014
742014
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