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 | 359 | 2017 |
Phenotypic switching in gene regulatory networks P Thomas, N Popović, R Grima Proceedings of the National Academy of Sciences 111 (19), 6994-6999, 2014 | 182 | 2014 |
A systematic investigation of the rate laws valid in intracellular environments R Grima, S Schnell Biophysical chemistry 124 (1), 1-10, 2006 | 153 | 2006 |
Linear mapping approximation of gene regulatory networks with stochastic dynamics Z Cao, R Grima Nature Communications 9 (1), 3305, 2018 | 149 | 2018 |
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 | 147 | 2010 |
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 | 147 | 2007 |
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 | 146 | 2011 |
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 | 144 | 2020 |
Steady-state fluctuations of a genetic feedback loop: An exact solution R Grima, DR Schmidt, TJ Newman Journal of Chemical Physics 137, 035104, 2012 | 140 | 2012 |
A study of the accuracy of moment-closure approximations for stochastic chemical kinetics R Grima Journal of Chemical Physics 136, 154105, 2012 | 135 | 2012 |
Many-body theory of chemotactic cell-cell interactions TJ Newman, R Grima Physical Review E 70 (5), 051916, 2004 | 130 | 2004 |
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 | 129 | 2012 |
Comparison of different moment-closure approximations for stochastic chemical kinetics D Schnoerr, G Sanguinetti, R Grima The Journal of chemical physics 143, 185101, 2015 | 122 | 2015 |
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 | 121 | 2012 |
Modelling reaction kinetics inside cells R Grima, S Schnell Essays in biochemistry 45, 41-56, 2008 | 113 | 2008 |
Neural network aided approximation and parameter inference of non-Markovian models of gene expression Q Jiang, X Fu, S Yan, R Li, W Du, Z Cao, F Qian, R Grima Nature communications 12 (1), 1-12, 2021 | 103 | 2021 |
Stochastic simulation of biomolecular networks in dynamic environments M Voliotis, P Thomas, R Grima, CG Bowsher PLoS computational biology 12 (6), e1004923, 2016 | 89 | 2016 |
Rigorous elimination of fast stochastic variables from the linear noise approximation using projection operators P Thomas, R Grima, AV Straube Physical Review E 86, 041110, 2012 | 88 | 2012 |
The complex chemical Langevin equation D Schnoerr, G Sanguinetti, R Grima The Journal of chemical physics 141, 024103, 2014 | 86 | 2014 |
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 | 84 | 2014 |