Quick links: Preprints, Journal publications, Editorials, Correspondence, Media, Book chapters, Conference proceedings, PhD Thesis, Conference talks, Other talks, Posters, Acknowledgements, and Peer reviewing.

Preprints

New articles that aren’t yet in a journal issue, but are on a pre-print server.

  1. CL Lei, DG Whittaker, GR Mirams (2023)
    The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk
    bioRxiv 2023.03.14.532553; doi:10.1101/2023.03.14.532553.
    Code to reproduce the results in this paper can be found on Github.

  2. T Ayagama, PD Charles, SJ Bose, B Boland, DA Priestman, D Aston, G Berridge, R Fischer, AP Cribbs, Q Song, GR Mirams, L Heather, A Galione, N Herring, U Schotten, RA Capel, FM Platt, H Kramer, S Verheule, RAB Burton (2023)
    Compartmentalisation proteomics revealed endolysosomal protein network changes in a goat model of atrial fibrillation
    bioRxiv 2023.03.10.532119; doi:10.1101/2023.03.10.532119.

  3. JG Shuttleworth, CL Lei, DG Whittaker, MJ Windley, AP Hill, SP Preston, GR Mirams (2023)
    Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics
    arXiv 2302.02942; doi:10.48550/arXiv.2302.02942.
    Code to reproduce the results in this paper can be found on Github.

  4. CL Lei, M Clerx, DJ Gavaghan, GR Mirams (2022)
    Model-driven optimal experimental design for calibrating cardiac electrophysiology models
    bioRxiv 2022.11.01.514669; doi:10.1101/2022.11.01.514669.
    Code to reproduce the results in this paper can be found on Github.

  5. AP Clark, M Clerx, S Wei, CL Lei, TP de Boer, GR Mirams, DJ Christini, T Krogh-Madsen (2022)
    Leak current, even with gigaohm seals, can cause misinterpretation of stem cell-derived cardiomyocyte action potential recordings
    bioRxiv 2022.10.13.511949; doi:10.1101/2022.10.13.511949
    Code to reproduce the results in this paper can be found on Github.

  6. S Ghosh, DJ Gavaghan, GR Mirams (2018)
    Gaussian process emulation for discontinuous response surfaces with applications for cardiac electrophysiology models
    arXiv 1805.10020

Peer-reviewed Journal Articles

You can find lists of these on the following platforms, with varying degrees of completeness:

But here is a list of all my peer-reviewed journal publications, together with links to relevant resources:

  1. DG Whittaker, AD Herrera-Reyes, M Hendrix, MR Owen, LH Band, GR Mirams, KJ Bolton, SP Preston (2023)
    Uncertainty and error in SARS-CoV-2 epidemiological parameters inferred from population-level epidemic models
    Journal of Theoretical Biology 558:111337. doi:10.1016/j.jtbi.2022.111337
    medRxiv 2022.07.01.22277134
    Code to reproduce the results in this paper can be found on Github.

  2. A Agrawal, K Wang, L Polonchuk, M Hendrix, J Cooper, GR Mirams, DJ Gavaghan, M Clerx (2023)
    Models of the cardiac L-type calcium current: a quantitative comparison
    WIREs Mechanisms of Disease 15(1):e1581. doi:10.1002/wsbm.1581
    bioRxiv 2021.10.04.462988
    Code to reproduce the results in this paper can be found on Github.

  3. YP Lin, CJ Tucker, C Landaverde, F Parekh-Glitsch, GR Mirams, AB Parekh (2022)
    Nuanced Interactions between AKAP79 and STIM1 with Orai1 Ca2+ Channels at Endoplasmic Reticulum-Plasma Membrane Junctions Sustain NFAT Activation
    Molecular and Cellular Biology 42(11):e00175-22. doi:10.1128/mcb.00175-22
    Code associated with the model in this paper can be found on Github.

  4. DG Whittaker, J Wang, J Shuttleworth, R Venkateshappa, JM Kemp, TW Claydon, GR Mirams (2022)
    Ion channel model reduction using manifold boundaries
    Royal Society Interface 19:20220193, doi:10.1098/rsif.2022.0193
    bioRxiv 2022.03.11.483794
    Code to reproduce the results in this paper can be found on Github.

  5. M Hendrix, M Clerx, AU Tamuri, SM Keating, RH Johnstone, J Cooper, GR Mirams (2022)
    chaste codegen: automatic CellML to C++ code generation with fixes for singularities and automatically generated Jacobians
    Wellcome Open Research, 6:261. doi:10.12688/wellcomeopenres.17206.2
    Code for this paper can be found on Github, with results featured in the paper in the ‘assets’ branch.

  6. Y-SHM Barral, J Shuttleworth, M Clerx, DG Whittaker, K Wang, L Polonchuk, DJ Gavaghan, GR Mirams (2022)
    A parameter representing missing charge should be considered when calibrating action potential models
    Frontiers in Physiology 13:879035. doi:10.3389/fphys.2022.879035
    Code to reproduce the results in this paper can be found on Github.

  7. A Sher, SA Neiderer, GR Mirams, A Kirpichnikova, R Allen, P Pathmanathan, DJ Gavaghan, PH van der Graaf, D Noble (2022)
    A Quantitative Systems Pharmacology perspective on the importance of parameter identifiability
    Bulletin of Mathematical Biology 84:39 doi:10.1007/s11538-021-00982-5

  8. CL Lei, A Fabbri, DG Whittaker, M Clerx, MJ Windley, AP Hill, GR Mirams, TP de Boer (2021)
    A nonlinear and time-dependent leak current in the presence of calcium fluoride patch-clamp seal enhancer
    Wellcome Open Research, 5:152. doi:10.12688/wellcomeopenres.15968.2
    Data and code to reproduce the results in this paper can be found on Github.

  9. JM Kemp, DG Whittaker, R Venkateshappa, Z Pang, R Johal, V Sergeev, G Tibbits, GR Mirams, T Claydon (2021)
    Electrophysiological characterization of the hERG R56Q LQTS variant and targeted rescue by the activator RPR260243
    Journal of General Physiology, 153(10):e202112923. doi:10.1085/jgp.202112923
    Code to reproduce the results in this paper can be found on Github.

  10. CL Lei, GR Mirams (2021)
    Neural network differential equations for ion channel modelling
    Frontiers in Physiology, 12:708944. doi:10.3389/fphys.2021.708944
    Code to reproduce the results in this paper can be found on Github.

  11. DG Whittaker, RA Capel, M Hendrix, XHS Chan, N Herring, NJ White, GR Mirams, R-AB Burton (2021)
    Cardiac TdP Risk Stratification Modelling of Anti-Infective Compounds including Chloroquine and Hydroxychloroquine
    Royal Society Open Science 8:210235. doi:10.1098/rsos.210235
    Code to reproduce the results in this paper can be found on Github.

  12. M Clerx, GR Mirams, AJ Rogers, SM Narayan and WR Giles (2021)
    Immediate and delayed response of simulated human atrial myocytes to clinically-relevant hypokalemia
    Frontiers in Physiology 12:651162. doi:10.3389/fphys.2021.651162
    Code to reproduce the results in this paper can be found on Github.

  13. MR Davies, M Martinec, R Walls, R Schwarz, GR Mirams, K Wang, G Steiner, A Surinach, C Flores, T Lave, T Singer, L Polonchuk (2020)
    Use of Patient Health Records to Quantify Drug-Related Pro-arrhythmic Risk
    Cell Reports Medicine 1:100076. doi:10.1016/j.xcrm.2020.100076

  14. CL Lei, S Ghosh, DG Whittaker, Y Aboelkassem, KA Beattie, CD Cantwell, T Delhaas, C Houston, G Montes Novaes, AV Panfilov, P Pathmanathan, M Riabiz, R Weber dos Santos, J Walmsley, K Worden, GR Mirams, RD Wilkinson (2020)
    Considering discrepancy when calibrating a mechanistic electrophysiology model
    Philosophical Transactions of the Royal Society A 378:20190349. doi:10.1098/rsta.2019.0349
    arXiv 2001.04230
    Code to reproduce the results in this paper can be found on Github.

  15. CL Lei, M Clerx, DG Whittaker, DJ Gavaghan, TP de Boer, GR Mirams (2020)
    Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments
    Philosophical Transactions of the Royal Society A 378:20190348. doi:10.1098/rsta.2019.0348
    bioRxiv 2019.12.20.884353
    Code to reproduce the results in this paper can be found on Github.

  16. BJ Ridder, DJ Leishman, M Bridgman-Taylor, M Samieegohar, X Han, WW Wu, A Randolph, P Tran, J Sheng, T Danker, A Lindqvist, D Konrad, S Hebeisen, L Polonchuk, E Gissinger, M Renganathan, B Koci, H Wei, J Fan, P Levesque, J Kwagh, J Imredy, J Zhai, M Rogers, E Humphries, R Kirby, D Stoelzle-Feix, N Brinkwirth, MG Rotordarm, N Becker, S Friis, M Rapedius, T Goetze, T Strassmaier, G Okeyo, J Kramer, Y Kuryshev, C Wu, H Himmel, GR Mirams, DG Strauss, R Bardenet, Z Li (2020)
    A Systematic Strategy for Estimating hERG Block Potency and Its Implications in A New Cardiac Safety Paradigm.
    Toxicology and Applied Pharmacology 394:114961. doi:10.1016/j.taap.2020.114961

  17. FR Cooper, RE Baker, MO Bernabeu, R Bordas, L Bowler, A Bueno-Orovio, HM Byrne, V Carapella, L Cardone-Noott, J Cooper, S Dutta, BD Evans, AG Fletcher, JA Grogan, W Guo, DG Harvey, M Hendrix, D Kay, J Kursawe, PK Maini, B McMillan, GR Mirams, JM Osborne, P Pathmanathan, JM Pitt-Francis, M Robinson, B Rodriguez, RJ Spiteri, DJ Gavaghan (2020)
    Chaste: Cancer, Heart and Soft Tissue Environment.
    Journal of Open Source Software 5(47):1848. doi:10.21105/joss.01848
    This paper describes the latest version of our Chaste C++ library for computational physiology, see the main Chaste wiki and github mirror.

  18. DG Whittaker, M Clerx, C-L Lei, DJ Christini, GR Mirams (2020)
    Calibration of Ionic and Cellullar Cardiac Electrophysiology Models
    WIREs Systems Biology and Medicine 12(4):e1482. doi:10.1002/wsbm.1482
    Code to reproduce the examples in this paper can be found on our Github repo.

  19. Z Li, GR Mirams, T Yoshinaga, B Ridder, X Han, J Chen, N Stockbridge, T Wisialowski, B Damiano, S Severi, P Morissette, P Kowey, M Holbrook, G Smith, R Rusmusson, M Liu, Z Song, Z Qu, D Leishman, J Steidl-Nichols, B Rodriguez, A Bueno-Orovio, X Zhou, E Passini, A Edwards, S Morotti, H Ni, E Grandi, C Clancy, J Vandenberg, A Hill, M Nakamura, T Singer, L Polonchuk, A Greiter-Wilke, K Wang, S Nave, A Fullerton, E Sobie, M Paci, FM Tshinanu, D Strauss (2020)
    General Principles for the Validation of Proarrhythmia Risk Prediction Models: an Extension of the CiPA In Silico Strategy
    Clinical Pharmacology & Therapeutics 107(1):102-111. doi:10.1002/cpt.1647

  20. M Clerx, KA Beattie, DJ Gavaghan, GR Mirams (2019)
    Four ways to fit an ion channel model
    Biophysical Journal 117(12):2420-2437. doi:10.1016/j.bpj.2019.08.001
    BioRXiv 609875
    Code to reproduce the results in this paper can be found on our Github repo.

  21. CL Lei, M Clerx, DJ Gavaghan, L Polonchuk, GR Mirams, K Wang (2019)
    Rapid characterisation of hERG channel kinetics I: using an automated high-throughput system
    Biophysical Journal 117(12):2438-2454. doi:10.1016/j.bpj.2019.07.029
    BioRXiv 609727
    Code to reproduce the results in this paper can be found on our Github repo.

  22. CL Lei, M Clerx, KA Beattie, D Melgari, JC Hancox, DJ Gavaghan, L Polonchuk, K Wang, GR Mirams (2019)
    Rapid characterisation of hERG channel kinetics II: temperature dependence
    Biophysical Journal 117(12):2455-2470. doi:10.1016/j.bpj.2019.07.030
    BioRXiv 609719
    Code to reproduce the results in this paper can be found on our Github repo.

  23. M Clerx, M Robinson, B Lambert, CL Lei, S Ghosh, GR Mirams, DJ Gavaghan (2019)
    Probabilistic Inference on Noisy Time Series (PINTS)
    Journal of Open Research Software 7:23. doi:10.5334/jors.252
    arXiv 1812.07388
    Here’s a link to the Pints Github repo.

  24. Y-P Lin, GR Mirams, AB Parekh (2019)
    Selective recruitment of different Ca2+-dependent transcription factors by STIM1-Orai1 clusters
    Nature Communications 10:2516. doi:10.1038/s41467-019-10329-3

  25. CHL Beentjes, JP Taylor-King, A Bayani, CN Davis, J Dunster, S Jabbari, GR Mirams, M Kilby, M Hewison, JA Tamblyn (2019)
    Defining Vitamin D status using multi-metabolite mathematical modelling: a pregnancy perspective
    Journal of Steroid Biochemistry and Molecular Biology 190:152-160. doi:10.1016/j.jsbmb.2019.03.024

  26. Z Li, B Ridder, W Wu, J Sheng, P Tran, M Wu, A Randolph, RH Johnstone, GR Mirams, Y Kuryshev, J Kramer, C Wu, W Crumb, D Strauss (2019)
    Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction under the CiPA Initiative
    Clinical Pharmacology & Therapeutics 105(2):466-475. doi:10.1002/cpt.1184

  27. LA Bowler, DJ Gavaghan, GR Mirams, JP Whiteley (2019)
    Representation of multiple cellular phenotypes within tissue-level simulations of cardiac electrophysiology
    Bulletin of Mathematical Biology 81(1):7-38. doi:10.1007/s11538-018-0516-1

  28. AC Daly, M Clerx, KA Beattie, J Cooper, DJ Gavaghan, GR Mirams (2018)
    Reproducible model development in the Cardiac Electrophysiology Web Lab
    Progress in Biophysics and Molecular Biology 139:3-14. doi:10.1016/j.pbiomolbio.2018.05.011
    (preprint on bioRxiv 257683)
    Please see the WebLab github organisation for links to the codes behind the WebLab.

  29. KA Beattie, AP Hill, R Bardenet, Y Cui, JI Vandenberg, DJ Gavaghan, TP de Boer, GR Mirams (2018)
    Sinusoidal voltage protocols for rapid characterization of ion channel kinetics
    Journal of Physiology 596(10):1813-1828. doi:10.1113/JP275733
    (preprint on bioRxiv 100677)
    Code and datasets to reproduce the results in this paper can be found on Github.
    This article is the subject of a commentary in the same issue: “Keeping it short and (not so) simple: characterizing hERG kinetics with sinusoidal waves”.

  30. K Samanta, GR Mirams, A Parekh (2018)
    Sequential forward and reverse transport of the Na+Ca2+ exchanger generates Ca2+ oscillations within mitochondria
    Nature Communications 9:156. doi:10.1038/s41467-017-02638-2

  31. CL Lei, K Wang, M Clerx, RH Johnstone, MP Hortigon-Vinagre, V Zamora, A Allan, GL Smith, DJ Gavaghan, GR Mirams, L Polonchuk (2017)
    Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology
    Frontiers in Physiology 8:986. doi:10.3389/fphys.2017.00986
    Code to reproduce the results of this paper can be found on our Github page.

  32. KC Chang, S Dutta, GR Mirams, KA Beattie, J Sheng, PN Tran, M Wu, WW Wu, T Colatsky, DG Strauss, Z Li (2017)
    Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment Frontiers in Physiology 8:917. doi:10.3389/fphys.2017.00917

  33. X Ligneau, RR Shah, I Berrebi-Bertrand, GR Mirams, P Robert, L Landais, P Maison-Blanche, J-F Faivre, J-M Lecomte & J-C Schwartz (2017)
    Nonclinical cardiovascular safety of pitolisant: comparing International Conference on Harmonization S7B and Comprehensive in vitro Pro-arrhythmia Assay initiative studies
    British Journal of Pharmacology 174:4449-4463. doi:10.1111/bph.14047

  34. B McMillan, DJ Gavaghan, GR Mirams (2017)
    Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator
    Toxicology Research 6:912-921. doi:10.1039/C7TX00141J
    Code to reproduce the results in this paper can be found on our Github group.

  35. T Hartung, RE FitzGerald, P Jennings, GR Mirams, MC Peitsch, A Rostami-Hodjegan, I Shah, MF Wilks, SJ Sturla (2017)
    Systems Toxicology: Real World Applications and Opportunities
    Chemical Research in Toxicology 30(4):870–882. doi:10.1021/acs.chemrestox.7b00003

  36. RH Johnstone, R Bardenet, DJ Gavaghan, GR Mirams (2017)
    Hierarchical Bayesian inference for ion channel screening dose-response data
    Wellcome Open Research 1:6. doi:10.12688/wellcomeopenres.9945.2
    The code for this Software Tool article can be found at http://www.github.com/mirams/PyHillFit.
    I’ve written an introduction that gives context for this article on my blog.

  37. D Aston, R Capel, K Ford, H Christian, GR Mirams, E Rog-Zielinska, P Kohl, A Galione, D Terrar, RA Burton (2017)
    High resolution structural evidence suggests the Sarcoplasmic Reticulum forms microdomains with Acidic Stores (lysosomes) in the heart
    Scientific Reports 7:40620. doi:10.1038/srep40620

  38. P Kar, GR Mirams, HC Christian, AB Parekh (2016)
    Control of NFAT Isoform Activation and NFAT-Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals
    Molecular Cell 64(4):746–759. doi:10.1016/j.molcel.2016.11.011.

  39. VM Mahoney, V Mezzano, GR Mirams, K Maass, Z Li, M Cerrone, C Vasquez, A Bapat, M Delmar, GE Morley (2016)
    Connexin 43 contributes to electrotonic conduction across scar tissue in the intact heart.
    Scientific Reports 6:26744. doi:10.1038/srep26744.
    This article was featured in Heart Rhythm EP news Dec 2016.
    A Chaste ‘Bolt-on Project’ (called MouseLesion) is available to download which allows you to run the simulations featured in this paper and plot the results. See the Paper Tutorial for a walkthrough of the code. I have also written a blog article on this paper.

  40. AP Hill, MD Perry, N Abi-Gerges, J-P Couderc, B Fermini, JC Hancox, BC Knollmann, GR Mirams, J Skinner, W Zareba, JI Vandenberg (2016)
    White Paper: Computational Cardiology and Risk Stratification for Sudden Cardiac Death: One of the Grand Challenges for Cardiology in the 21st Century.
    Journal of Physiology 594(23):6893–6908. doi:10.1113/JP272015.

  41. GR Mirams, P Pathmanathan, RA Gray, P Challenor, RH Clayton (2016)
    White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology.
    Journal of Physiology 594(23):6833–6847. doi:10.1113/JP271671.
    This paper also contributed the cover image for this issue of the Journal of Physiology.

  42. MR Davies, K Wang, GR Mirams, A Caruso, D Noble, A Walz, T Lavé, F Schuler, T Singer, L Polonchuk (2016)
    Recent developments in using mechanistic cardiac modelling for drug safety evaluation.
    Drug Discovery Today 21(6):924–938. doi:10.1016/j.drudis.2016.02.003.
    I’ve written a blog article elaborating on one of the issues that this article raises.

  43. RH Johnstone, ET Chang, R Bardenet, TP de Boer, DJ Gavaghan, P Pathmanathan, RH Clayton, GR Mirams (2016)
    Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models?
    Journal of Molecular and Cellular Cardiology 96:49-62. doi:10.1016/j.yjmcc.2015.11.018.
    A Chaste ‘Bolt-on Project’ (called Jmcc_UQ) is available to download which allows you to run the simulations featured in this paper and reproduce the results.

  44. J Cooper, M Scharm, GR Mirams (2016)
    The Cardiac Electrophysiology Web Lab
    Biophysical Journal 110(2):292-300. doi:10.1016/j.bpj.2015.12.012.
    The web lab itself and associated links and documentation can be found at https://chaste.cs.ox.ac.uk/WebLab.

  45. K Samanta, P Kar, GR Mirams, AB Parekh (2015)
    Ca2+ channel re-localization to plasma membrane microdomains strengthens activation of Ca2+-dependent nuclear gene expression.
    Cell Reports 12(2):203-216. doi:10.1016/j.celrep.2015.06.018.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results. See the Paper Tutorial for a walkthrough of the code.

  46. RA Capel, N Herring, M Kalla, A Yavari, GR Mirams, G Douglas, G Bub, K Channon, DJ Paterson, D Terrar, R-A Burton (2015)
    Hydroxychloroquine reduces heart rate by modulating the hyperpolarisation activated current ‘If’: Novel electrophysiological insights and therapeutic potential.
    Heart Rhythm 12(10):2186–2194. doi:10.1016/j.hrthm.2015.05.027.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results. See the Paper Tutorial for a walkthrough of the code. This paper had a bit of attention in the press - see press release, Daily Mirror article, ITV news article.

  47. G Williams and GR Mirams (2015)
    A web portal for in-silico action potential predictions.
    Journal of Pharmacological and Toxicological Methods 75:10-16. doi:10.1016/j.vascn.2015.05.002.
    Here is a link to the web portal itself. A Chaste ‘Bolt-on Project’ is also available to provide the simulation tool behind the portal. The web portal software is also freely available if you wish to host your own copy.

  48. K Wang, P Lee, GR Mirams, P Sarathchandra, T Borg, DJ Gavaghan, P Kohl, C Bollensdorff (2015)
    Cardiac Tissue Slices: Preparation, Handling, and Successful Optical Mapping. American Journal of Physiology: Heart and Circulatory Physiology, 308:H1112-H1125. doi:10.1152/ajpheart.00556.2014.

  49. J Cooper, RJ Spiteri, GR Mirams (2015)
    Cellular cardiac electrophysiology modelling with Chaste and CellML.
    Frontiers in Physiology, 5:511. doi:10.3389/fphys.2014.00511.
    A Chaste ‘Bolt-on Project’ is now available to download which allows you to run the simulations featured in this paper and plot the results.

  50. J Walmsley, GR Mirams, JM Pitt-Francis, B Rodriguez, K Burrage (2015)
    Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue.
    Journal of Theoretical Biology, 365:325-336. doi:10.1016/j.jtbi.2014.10.029.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results.

  51. GR Mirams, MR Davies, SJ Brough, MH Bridgland-Taylor, Y Cui, DJ Gavaghan, N Abi-Gerges (2014)
    Prediction of Thorough QT study results using action potential simulations based on ion channel screens.
    Journal of Pharmacological and Toxicological Methods, 70(3):246-254. doi:10.1016/j.vascn.2014.07.002.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results.

  52. JM Osborne, MO Bernabeu, M Bruna, B Calderhead, J Cooper, N Dalchau, S-J Dunn, AG Fletcher, R Freeman, D Groen, B Knapp, GJ McInerny, GR Mirams, J Pitt-Francis, B Sengupta, DW Wright, CA Yates, DJ Gavaghan, S Emmott, C Deane (2014)
    Ten simple rules for effective computational research.
    PLoS Computational Biology, 10(3):e1003506. doi:10.1371/journal.pcbi.1003506.

  53. RC Elkins, MR Davies, SJ Brough, DJ Gavaghan, Y Cui, N Abi-Gerges, GR Mirams (2013)
    Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment.
    Journal of Pharmacological and Toxicological Methods, 68(1):112-122. doi:10.1016/j.vascn.2013.04.007.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results.

  54. KA Beattie, C Luscombe, G Williams, J Munoz-Muriedas, DJ Gavaghan, Y Cui, GR Mirams (2013)
    Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge.
    Journal of Pharmacological and Toxicological Methods, 68(1):88-96. doi:10.1016/j.vascn.2013.04.004.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results.

  55. GR Mirams, CJ Arthurs, MO Bernabeu, R Bordas, J Cooper, A Corrias, Y Davit, S-J Dunn, AG Fletcher, DG Harvey, ME Marsh, JM Osborne, P Pathmanathan, J Pitt-Francis, J Southern, N Zemzemi, DJ Gavaghan (2013)
    Chaste: an open source C++ library for computational physiology and biology.
    PLoS Computational Biology, 9(3):e1002970. doi:10.1371/journal.pcbi.1002970.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results.

  56. J Walmsley, J-F Rodríguez, GR Mirams, K Burrage, I Efimov, B Rodríguez (2013)
    mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study.
    PLoS ONE, 8(2):e56359. doi:10.1371/journal.pone.0056359.
    A Chaste ‘Bolt-on Project’ is available to download which allows you to run the simulations featured in this paper and plot the results.

  57. N Zemzemi, MO Bernabeu, J Saiz, J Cooper, P Pathmanathan, GR Mirams, J Pitt-Francis, B Rodriguez (2013)
    Computational assessment of drug-induced effects on the electrocardiogram: from ion channel block to body surface potentials.
    British Journal of Pharmacology, 168(3):718-733. doi:10.1111/j.1476-5381.2012.02200.x.

  58. A Sher, K Wang, A Wathen, PJ Maybank, GR Mirams, D Abramson, D Noble, DJ Gavaghan (2013)
    A Local Sensitivity Analysis Method for Developing Biological Models with Identifiable Parameters: Application to Cardiac Ionic Channel Modelling.
    Future Generation Computer Systems, 29(2):591-598. doi:10.1016/j.future.2011.09.006.

  59. GR Mirams, MR Davies, Y Cui, P Kohl, D Noble (2012)
    Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing.
    British Journal of Pharmacology, 167(5), 932-945. doi:10.1111/j.1476-5381.2012.02020.x.
    This article is featured in an invited commentary in the same issue: Gintant (2012).

  60. GR Mirams, AG Fletcher, PK Maini, HM Byrne (2012)
    A theoretical investigation of the effect of proliferation and adhesion on monoclonal conversion in the colonic crypt.
    Journal of Theoretical Biology 312(7):143-156. doi:10.1016/j.jtbi.2012.08.002.
    A Chaste “project” is available to download which allows you to run the simulations and analysis featured in this paper.

  61. M Jonsson, MA Vos, GR Mirams, G Duker, P Sartipy, TP de Boer, TAB van Veen (2012)
    Application of Human Stem Cell-derived Cardiomyocytes in Safety Pharmacology Requires Caution Beyond hERG.
    Journal of Molecular and Cellular Cardiology, 52(5):998-1008. doi:10.1016/j.yjmcc.2012.02.002.

  62. LJ Bridge, GR Mirams*, ML Kieffer, JR King, S Kepinski (2012)
    Distinguishing possible mechanisms for auxin-mediated developmental control in Arabidopsis: models with two Aux/IAA and ARF proteins, and two target gene-sets.
    Mathematical Biosciences, 235:32-44. doi:10.1016/j.mbs.2011.10.005.
    *joint first author

  63. GR Mirams, D Noble (2011)
    Is it time for in silico simulation of drug cardiac side effects?
    Annals of the New York Academy of Sciences, 1245:44-47. doi:10.1111/j.1749-6632.2011.06324.x.

  64. TA Quinn‚ S Granite‚ MA Allessie‚ C Antzelevitch‚ C Bollensdorff‚ G Bub‚ RAB Burton‚ E Cerbaig‚ PS Chen‚ M Delmar‚ D DiFrancesco‚ YE Earm‚ IR Efimov‚ M Egger‚ E Entcheva‚ M Fink‚ R Fischmeister‚ MR Franz‚ A Garny‚ WR Giles‚ T Hannes‚ SE Harding‚ PJ Hunter‚ G Iribe‚ J Jalife‚ CR Johnson‚ RS Kass‚ I Kodama‚ G Koren‚ P Lord‚ VS Markhasin‚ S Matsuoka‚ AD McCulloch‚ GR Mirams‚ GE Morley‚ S Nattel‚ D Noble‚ SP Olesen‚ AV Panfilov‚ NA Trayanova‚ U Ravens‚ S Richard‚ DS Rosenbaum‚ Y Rudy‚ F Sachs‚ FB Sachse‚ DA Saint‚ U Schotten‚ O Solovyova‚ P Taggart‚ L Tung‚ A Varró‚ PG Volders‚ K Wang‚ JN Weiss‚ E Wettwer‚ E White‚ R Wilders‚ RL Winslow and P Kohl (2011)
    Minimum Information for a Cardiac Electrophysiology Experiment (MICEE): Standardised reporting for model reproducibility, interoperability, and data sharing.
    Progress in Biophysics and Molecular Biology, 107, 4-10. doi:10.1016/j.pbiomolbio.2011.07.001.

  65. J Cooper, GR Mirams*, SA Niederer (2011)
    High throughput functional curation of cellular electrophysiology models.
    Progress in Biophysics and Molecular Biology, 107:11-20. doi:10.1016/j.pbiomolbio.2011.06.003.
    *joint first author
    A Chaste “project” is available to download which allows the user to run the simulations and analysis featured in this paper.

  66. GR Mirams, Y Cui, A Sher, M Fink, J Cooper, BM Heath, NC McMahon, DJ Gavaghan, D Noble (2011)
    Simulation of multiple ion channel block provides improved early prediction of compounds’ clinical torsadogenic risk.
    Cardiovascular Research, 91(1):53-61. doi:10.1093/cvr/CVR044.
    This article is featured in an editorial in the same issue: Anyukhovsky (2011). It is also discussed in Heart Rhythm’s EP News: Basic and Translational for June 2011.
    A Chaste “project” is available to download which allows the user to run the simulations and analysis featured in this paper.

  67. K Fletcher, R Shah, A Thomas, F Tobin, B Rodriguez, GR Mirams, J Saiz, D Noble (2011)
    Novel Approaches to Assessing Cardiac Safety: Proceedings of a Workshop.
    Drug Safety, 35(5):439-443. doi:10.2165/11591950-000000000-00000.

  68. P Pathmanathan, GR Mirams, J Southern, JP Whiteley (2011)
    The significant effect of the choice of ionic current integration method in cardiac electro-physiological simulations.
    International Journal for Numerical Methods in Biomedical Engineering, 27(11):1751-1770. doi:10.1002/cnm.1438.

  69. JM Osborne, A Walter, SK Kershaw, GR Mirams, AG Fletcher, P Pathmanathan, DJ Gavaghan, OE Jensen, PK Maini, HM Byrne (2010)
    A hybrid approach to multiscale modelling of cancer.
    Philosophical Transactions of the Royal Society A, 368:5013-5028. doi:10.1098/rsta.2010.0173.

  70. PJ Murray, J-W Kang, GR Mirams, S-Y Shin, HM Byrne, PK Maini, K-H Cho (2010)
    Modelling spatially regulated beta-catenin dynamics and invasion in intestinal crypts.
    Biophysical Journal, 99(3):716-725. doi:10.1016/j.bpj.2010.05.016.

  71. GR Mirams, HM Byrne and JR King (2010)
    A multiple timescale analysis of a mathematical model of the Wnt/beta-catenin signalling pathway.
    Journal of Mathematical Biology, 60(1):131-160. doi:10.1007/s00285-009-0262-y.
    Some typos have been found in this paper, here is a list of errata and further details on the simplified model, and here is a corrected version of the paper.

  72. JM Pitt-Francis, P Pathmanathan, MO Bernabeu, R Bordas, J Cooper, A Fletcher, GR Mirams, P Murray, J Osborne, A Walter, SJ Chapman, A Garny, IMM van Leeuwen, PK Maini, B Rodriguez, JP Whiteley, HM Byrne, DJ Gavaghan (2009)
    Chaste: a test-driven approach to software development for biological modelling.
    Computer Physics Communications, 180(12):2452-2471. https://doi.org/10.1016/j.cpc.2009.07.019.

  73. P Pathmanathan, J Cooper, A Fletcher, G Mirams, L Momtahan, P Murray, J Osborne, J Pitt-Francis, A Walter and SJ Chapman (2009)
    A computational study of discrete mechanical tissue models.
    Physical Biology, 6(3):036001. doi:10.1088/1478-3975/6/3/036001.

  74. IMM van Leeuwen, GR Mirams, A Walter, A Fletcher, P Murray, J Osborne, S Varma, SJ Young, J Cooper, B Doyle, J Pitt-Francis, L Momtahan, P Pathmanathan, JP Whiteley, SJ Chapman, DJ Gavaghan, OE Jensen, JR King, PK Maini, SL Waters and HM Byrne (2009)
    An integrative computational model for intestinal tissue renewal.
    Cell Proliferation, 42(5):617-636. doi:10.1111/j.1365-2184.2009.00627.x.
    A Chaste “project” is available to download which allows the user to run the simulations featured in this paper and plot the results.

Editorials

  • GR Mirams, SA Niederer, RH Clayton (2020)
    The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation.
    Philosophical Transactions of the Royal Society A 378:20200119. doi:10.1098/rsta.2020.0119

Correspondence

  • Z Li, GR Mirams, DJ Strauss (2019)
    A response to “CiPA’s complexity bias”
    Clinical Pharmacology & Therapeutics 105(6):1325. doi:10.1002/cpt.1399

Media

A Nature Reviews Drug Discovery news article and a Nature SciBx article contained some of my comments on proposed changes to drug-induced pro-arrhythmia testing.

Book chapters

  • J Cooper, SA Niederer, A Garny, M Maleckar, G Mirams, D Nickerson, M Viceconti (2011) A software engineering approach to computational modelling research, in: Virtual Physiological Human - Future and Emerging Technologies: Research Roadmap, Editors: M Viceconti & G Clapworthy.

  • AG Fletcher, GR Mirams, PJ Murray, A Walter, J-W Kang, K-H Cho, PK Maini, and HM Byrne. (2010) Multiscale Modeling of Colonic Crypts and Early Colorectal Cancer, in: Multiscale Cancer Modeling, Editor: Thomas S. Deisboeck, ISBN: 9781439814406.

Conference proceedings

  1. RH Johnstone, R Bardenet, DJ Gavaghan, L Polonchuk, MR Davies, GR Mirams (2016)
    Hierarchical Bayesian modelling of variability and uncertainty in synthetic action potential traces
    Computing in Cardiology 2016 43:1089-1092. doi:10.22489/CinC.2016.313-458

  2. K Wang, M Davies, A Caruso, G Mirams, D Noble, A Walz, T Lave, F Schuler, T Singer, L Polonchuk (2016)
    What are the challenges and opportunities ahead of any regulatory requirements for in silico cardiac pro-arrhythmia prediction?
    Journal of Pharmacological & Toxicological Methods 81:349. doi:10.1016/j.vascn.2016.02.048

  3. K Wang, M Davies, A Caruso, G Mirams, D Noble, A-C Walz, T Lave, F Schuler, T Singer, L Polonchuk (2016)
    Importance of parameter control in cardiac models for robust pro-arrhythmic risk prediction
    Journal of Pharmacological & Toxicological Methods 81:361. doi:10.1016/j.vascn.2016.02.086

  4. R Johnstone, R Bardenet, T de Boer, D Gavaghan, M Davies, L Polonchuk, G Mirams (2016)
    Cell-specific mathematical models of cardiac electrophysiology.
    Journal of Pharmacological & Toxicological Methods 81:343. doi:10.1016/j.vascn.2016.02.029

  5. L Bowler, K Harris, D Gavaghan, G Mirams (2016)
    Simulated micro-electrode array recordings from stem cell-derived cardiomyocytes
    Journal of Pharmacological & Toxicological Methods 81:380. doi:10.1016/j.vascn.2016.02.148.

  6. B McMillan, DJ Gavaghan, GR Mirams (2016)
    Predicting drug-induced arrhythmia using afterdepolarisations.
    Journal of Pharmacological & Toxicological Methods 81:350-351. doi:10.1016/j.vascn.2016.02.053.

  7. K Beattie, D Melgari, J Hancox, G Mirams (2016)
    Exploring temperature-dependence of hERG channel kinetics using sine wave voltage protocols.
    Journal of Pharmacological & Toxicological Methods 81:339-340. doi:10.1016/j.vascn.2016.02.017.

  8. K Wang, G Mirams, M Davies, A Caruso, D Noble, R Alvarez-Sanchez, AC Walz, T Lave, F Schuler, T Singer, L Polonchuk (2016)
    Simulation of L-Type Calcium Currents using Different Experimental Data Sources: from Cell Line to iPS-Derived Cardiomyocyte.
    Biophysical Journal 110(3):supplement 1:450a. doi:10.1016/j.bpj.2015.11.2418.

  9. RA Capel, GR Mirams, KA Beattie, DJ Paterson, DA Terrar, RAB Burton (2015)
    Can you teach an old dog new tricks? The anti-malarial hydroxychloroquine shows promise in cardiac rate control through actions at the sino-atrial node.
    Heart, 101:A2. doi:10.1136/heartjnl-2015-308734.6.

  10. K Beattie, T de Boer, D Gavaghan, J Louttit, G Mirams (2015)
    Voltage protocol design for determining hERG channel kinetics.
    Journal of Pharmacological and Toxicological Methods 75:164. doi:10.1016/j.vascn.2015.08.023.

  11. RAB Burton, G Stephens, A Sharkey, S Bilton, H Larsen, H Kramer, C Schmidt, C Molina, D Li, G Mirams, C Robinson, D Paterson, G Bub (2014)
    Spatiotemporal Transitions in Cardiac Neuronal Co-Cultures.
    Biophysical Journal, 106(2):630A. doi:10.1016/j.bpj.2013.11.3487.

  12. J Walmsley, GR Mirams, IR Efimov, K Burrage and B Rodriguez (2013)
    Estimation of conductivity tensors from human ventricular optical mapping recordings.
    Lecture Notes in Computer Science: Functional Imaging and Modeling of the Heart, 7495, 224-231. doi:10.1007/978-3-642-38899-6_27.

  13. G Mirams, K Beattie, Y Cui, C Luscombe, G Williams, D Gavaghan, N McMahon (2013)
    Evaluation of computational modelling as a preclinical proarrhythmic safety assay.
    Journal of Pharmacological and Toxicological Methods, 86(1):e21. doi:10.1016/j.vascn.2013.01.081.

  14. J Walmsley, K Burrage, JM Pitt-Francis, GR Mirams, B Rodriguez (2012)
    Stochasticity in Action Potential duration Enhances Dispersion of Repolarisation at Fast Pacing Rates.
    Biophysical Journal, 102(3):592a-593a. doi:10.1016/j.bpj.2011.11.3230.

  15. A Sher, K Wang, A Wathen, G Mirams, D Abramson, D Gavaghan (2010)
    A Local Sensitivity Analysis Method for Developing Biological Models with Identifiable Parameters: Application to L-type Calcium Channel Modelling.
    Proceedings of the Sixth IEEE International Conference on e-Science. 176-181. doi:10.1109/eScience.2010.56.

  16. J Walmsley, G Mirams, M Bahoshy, C Bollensdorff, B Rodriguez, K Burrage. (2010)
    Phenomenological modelling of cell-to-cell and beat-to-beat variability in isolated guinea-pig ventricular myocytes.
    Proceedings of the Annual Conference IEEE EMBS. 1457-1460. doi:10.1109/IEMBS.2010.5626858.

  17. GR Mirams, A Sher, Y Cui, M Fink, BM Heath, NC McMahon, D Noble. (2010)
    Computational prediction of Torsade-de-Pointes risk from preclinical multi-ion-channel data.
    Heart Rhythm, 7(5):S228.

  18. A Sher, G Mirams, D Gavaghan, D Noble, M Fink. (2009)
    The L-type Calcium Channels and Calcium regulation in ventricular myocytes: in silico studies.
    Journal of Physiological Sciences, 59(S1):259-259.

  19. OE Jensen, IMM van Leeuwen, GR Mirams, A Walter, JR King, HM Byrne. (2006)
    Towards a multiscale model of colorectal cancer.
    Journal of Biomechanics, 39(S1):S422.

  20. GR Mirams, D Noble, M Fink. (2009)
    Tools for optimising experiments and developing predictive models: an example for ion channel kinetics.
    Proceedings of the Physiological Society 15:PC113.

PhD Thesis

My thesis “Subcellular Phenomena in Colorectal Cancer”, which is predominantly about cellular phenomena in the non-cancerous colon, is available to download from the Nottingham eTheses site.

Conference talks

I’ve started putting most of these on my Figshare page if you are interested in them.

Other invited talks

  • 17th Sept 2021 - Nottingham University - School of Mathematical Sciences Knowledge Exchange Talk - slides
  • 8th Mar 2021 - Bath University - Centre for Mathematical Biology Seminar - slides
  • 9th Dec 2020 - Sheffield University - Applied Maths Seminar - “Selecting and parameterising a model for a biological potassium ion channel’s dynamics”
  • 22nd Nov 2019 - Nottingham University - Life Sciences Seminar - slides
  • 9th May 2018 - Dundee University - Computational Biology Seminar - slides
  • 16th May 2017 - Swansea University - Bioengineering Seminar
  • 24th April 2017 - Manchester University - Mathematical Biology Seminar
  • 7th March 2017 - Nottingham University - Centre for Mathematical Medicine and Biology seminar - slides.
  • 20th February 2017 - Sheffield University - Mathematical Biology Seminar - slides
  • 18th January 2016 - Birmingham University - Mathematics Department Seminar
  • 8th April 2015 - Auckland University - Auckland Bioengineering Institute Software Workshop
  • 17th March 2015 - Nottingham University - Centre for Mathematical Medicine and Biology seminar
  • 26th January 2015 - Dundee University - Mathematics Department Seminar
  • 18th December 2014 - Sheffield University - Uncertainty in cardiac models workshop
  • 2nd October 2013 - Medical Centre Utrecht - Cardiovascular Research Seminar - “Simulation as a tool for assessing and understanding drug-induced pro-arrhythmic risk”
  • 16th November 2011 - Webinar - GlaxoSmithKline Ion Channel Forum - “In silico simulation for cardiac safety assessment”
  • 19th May 2011 - Webinar - Safety Pharmacology Society webinar - “Computational Modeling for Cardiac Safety Assessment”
  • 18th January 2010 - Oxford - Centre for Mathematical Biology - “Parameter sensitivity in cardiac ion channel models”
  • 13th January 2010 - Nottingham - STEM - “Chaste: a software library for cell-based modelling simulations”

Posters

  • CL Lei, M Clerx, DJ Gavaghan, L Polonchuk, G Mirams, K Wang (2018)
    Rapid Characterisation of hERG Kinetics Using Optimised Protocols on a High-Throughput System
    Biophysical Society Thematic Meeting: the Heart by Numbers, Sept 2018, Berlin, Germany.
    doi:10.6084/m9.figshare.7992584

  • RH Johnstone, DJ Gavaghan, GR Mirams.
    Using cardiac electrophysiology models to predict drug-induced proarrhythmic risk.
    Physiology 2016, July 2016, Dublin, Ireland.

  • GR Mirams, M Scharm, J Cooper.
    The Cardiac Electrophysiology Web Lab.
    Gordon Research Conference: Cardiac Arrhythmia Mechanisms, March 2015, Lucca, Italy.

  • GR Mirams, K Beattie, J Louttit, T de Boer, DJ Gavaghan.
    Novel voltage protocols for determining hERG channel kinetics.
    Biophysical Society Annual Meeting, February 2015, Baltimore, USA.

  • GR Mirams, M Davies, J Stott, B Rodriguez, Y Cui, D Noble, D Gavaghan and N Abi-Gerges.
    In silico pro-arrhythmic risk assessment: can the results of the Thorough QT Study be predicted?.
    Safety Pharmacology Society Annual Meeting, September 2013, Rotterdam, Netherlands.

  • GR Mirams, K Beattie, D Gavaghan.
    Tools for optimising experiments and developing predictive models: an example for ion channel kinetics.
    Aachen Centre for Computational Engineering Science, September 2013, Aachen, Germany.

  • GR Mirams, K Beattie, Y Cui, C Luscombe, G Williams, DJ Gavaghan and N McMahon.
    An evaluation of the use of in-silico modelling in early pro-arrhythmic cardiac safety assessment.
    Gordon Research Conference: Cardiac Arrhythmia Mechanisms, February 2013, Ventura, California, USA.

  • GR Mirams.
    Computational modelling for drug safety testing.
    Cardiac Physiome Workshop, November 2012, San Diego, California, USA.

  • GR Mirams.
    Evaluation of computational modelling as a pro-arrhythmic safety assay.
    Safety Pharmacology Society Annual Meeting, October 2012, Phoenix, Arizona, USA.

  • GR Mirams, Y Cui, A Sher, M Fink, J Cooper, BM Heath, NC McMahon, DJ Gavaghan, D Noble.
    Simulation of multiple ion channel drug block provides early prediction of human clinical torsadogenic risk.
    Northern Cardiovascular Research Group Meeting, April 2011, Hull, UK.

  • RAB Burton, A Garny, C Bollendsorff, TA Quinn, M Fink, G Bub, GR Mirams, K Fletcher, D Noble, P Kohl.
    Minimum Information for Cardiac Electrophysiology Experiments - MICEE.
    Virtual Physiological Human 2010, September 2010, Brussels, Belgium.

Papers where I’m acknowledged

This isn’t something I’ve ever seen listed before, but it gives a good idea of my other interests and I think it is probably a helpful indicator of being more widely useful!

  • M Mohr, J-M Chambard, V Ballet, F Schmidt (2022).
    Accurate in silico simulation of the rabbit Purkinje fiber electrophysiological assay to facilitate early pharmaceutical cardiosafety assessment: Dream or reality?.
    Journal of Pharmacological and Toxicological Methods, 115:107172. doi:10.1016/j.vascn.2022.107172

  • A Fabbri, B.Goversen, M.A.Vos, T.A.B.van Veen, T.P.de Boer (2019).
    Required GK1 to suppress automaticity of iPSC-CMs depends strongly on IK1 model structure.
    Biophysical Journal, 117(12):2303-2315. doi:10.1016/j.bpj.2019.08.040

  • M Clerx (2018).
    Personalisation of cellular electrophysiology models: utopia?.
    Computing in Cardiology 2018 Link to PDF

  • S Dutta, KC Chang, KA Beattie, J Sheng, PN Tran, WW Wu, M Wu, DG Strauss, T Colatsky and Z Li (2017).
    Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment. Frontiers in Physiology, 8:616. doi:10.3389/fphys.2017.00616

  • Z Li, S Dutta, J Sheng, PN Tran, W Wu, K Chang, T Mdluli, DG Strauss, T Colatsky (2017).
    Improving the In Silico Assessment of Proarrhythmia Risk by Combining hERG (Human Ether-à-go-go-Related Gene) Channel–Drug Binding Kinetics and Multichannel Pharmacology.
    Circulation: Arrhythmia and Electrophysiology, 10(2):e004628. doi:10.1161/CIRCEP.116.004628.

  • I Cavero, J-M Guillon, V Ballet, M Clements, J-F Gerbeau, H Holzgrefe (2016).
    Comprehensive in vitro Proarrhythmia Assay (CiPA): Pending issues for successful validation and implementation.
    Journal of Pharmacological and Toxicological Methods, 81:21-36. doi:10.1016/j.vascn.2016.05.012.

  • S Sathar, LK Cheng, ML Trew (2015).
    A comparison of solver performance for complex gastric electrophysiology models.
    Proceedings of the Annual Conference IEEE EMBS. 1452-1455. doi:10.1109/EMBC.2015.7318643.

  • I Cavero, H Holzgrefe (2015).
    CiPA: ongoing testing, future qualification procedures, and pending issues.
    Journal of Pharmacological and Toxicological Methods, 76, 27-35. doi:10.1016/j.vascn.2015.06.004.

  • J Cooper, J-O Vik, D Waltemath (2015).
    A call for virtual experiments: Accelerating the scientific process.
    Progress in Biophysics and Molecular Biology, 117(1), 99-106. doi:10.1016/j.pbiomolbio.2014.10.001.

  • MR Nelson, KJ Sutton, BS Brook, DG Mallet, DP Simpson and RG Rank (2014).
    STI-GMaS: an open-source environment for simulation of sexually-transmitted infections.
    BMC Systems Biology, 8(1), 66. doi:10.1186/1752-0509-8-66.

  • I Cavero, H Holzgrefe (2014).
    Comprehensive in vitro Proarrhythmia Assay, a novel in vitro/in silico paradigm to detect ventricular proarrhythmic liability: a visionary 21st century initiative.
    Expert Opinion on Drug Safety, 13(6), 745-758. doi:10.1517/14740338.2014.915311.

  • P Pathmanathan, R Gray (2013).
    Ensuring reliability of safety-critical clinical applications of computational cardiac models.
    Frontiers in Physiology, 4 358. doi:10.3389/fphys.2013.00358.

  • D Noble, A Garny, PJ Noble (2012).
    How the Hodgkin–Huxley equations inspired the Cardiac Physiome Project.
    Journal of Physiology, 590 2613-2628. doi:10.1113/jphysiol.2011.224238.

Peer reviewing

Editorial work

Journal article reviews

I have been a peer reviewer for the following journals (I’m also experimenting with Publons to keep track of these):

  • Acta Physiologica
  • Biomechanics and Modeling in Mechanobiology
  • Biophysics Reviews
  • BMC Systems Biology
  • BMJ Evidence-Based Medicine
  • British Journal of Pharmacology
  • Bulletin of Mathematical Biology
  • Chemical Research in Toxicology
  • Communications in Nonlinear Science and Numerical Simulation
  • Computer Methods and Programs in Biomedicine
  • Computers in Biology and Medicine
  • Chaos
  • Drug Discovery Today
  • European Journal of Pharmacology
  • Experimental Physiology
  • Expert Opinion on Drug Safety
  • Frontiers in Cellular Neuroscience
  • Frontiers in Pharmacology
  • Frontiers in Physiology
  • Journal of Applied Biomedicine
  • Journal of Applied Toxicology
  • Journal of Biological Physics
  • Journal of Cardiovascular Pharmacology
  • Journal of Chemical Information and Modeling
  • Journal of Mathematical Biology
  • Journal of Molecular and Cellular Cardiology
  • Journal of Molecular Graphics and Modelling
  • Journal of Physiology
  • Journal of Pharmacological and Toxicological Methods
  • Journal of Physical Chemistry
  • Journal of Theoretical Biology
  • Mathematical Medicine and Biology
  • Medical & Biological Engineering & Computing
  • PeerJ
  • Pharmaceutical Medicine
  • Philosophical Transactions of the Royal Society A
  • Physical Biology
  • Phytomedicine
  • PLoS Computational Biology
  • PLoS ONE
  • Progress in Biomedical Engineering
  • Progress in Biophysics and Molecular Biology
  • Royal Society: Interface
  • Royal Society: Interface Focus
  • Royal Society: Open Science
  • Science Advances
  • Scientific Reports
  • SIAM/ASA Journal on Uncertainty Quantification
  • Theoretical Biology and Medical Modelling
  • Toxicology Research and Application
  • Wiley Interdisciplinary Reviews - Systems Biology and Medicine (now Mechanisms of Disease)

Grant application reviews

I have been a grant reviewer for the following funders:

Grant Panels

I am on grant interview/advisory panels for: