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Outputs (17)

Reproducible model development in the Cardiac Electrophysiology Web Lab (2018)
Journal Article
Daly, A. C., Clerx, M., Beattie, K. A., Cooper, J., Gavaghan, D. J., & Mirams, G. R. (2018). Reproducible model development in the Cardiac Electrophysiology Web Lab. Progress in Biophysics and Molecular Biology, 139, 3-14. https://doi.org/10.1016/j.pbiomolbio.2018.05.011

The modelling of the electrophysiology of cardiac cells is one of the most mature areas of systems biology. This extended concentration of research effort brings with it new challenges, foremost among which is that of choosing which of these models i... Read More about Reproducible model development in the Cardiac Electrophysiology Web Lab.

Representation of multiple cellular phenotypes within tissue-level simulations of cardiac electrophysiology (2018)
Journal Article
Bowler, L. A., Gavaghan, D. J., Mirams, G. R., & Whiteley, J. P. (2019). Representation of multiple cellular phenotypes within tissue-level simulations of cardiac electrophysiology. Bulletin of Mathematical Biology, 81(1), 7–38. https://doi.org/10.1007/s11538-018-0516-1

Distinct electrophysiological phenotypes are exhibited 1 by biological cells that have differentiated into particular cell types. The usual approach when simulating the cardiac electrophysiology of tissue that includes different cell types is to mode... Read More about Representation of multiple cellular phenotypes within tissue-level simulations of cardiac electrophysiology.

Inference of the Arabidopsis lateral root gene regulatory network suggests a bifurcation mechanism that defines primordia flanking and central zones (2015)
Journal Article
Lavenus, J., Goh, T., Guyomarc’h, S., Hill, K., Lucas, M., Voß, U., …Bennett, M. J. (2015). Inference of the Arabidopsis lateral root gene regulatory network suggests a bifurcation mechanism that defines primordia flanking and central zones. Plant Cell, 27(5), 1368-1388. https://doi.org/10.1105/tpc.114.132993

A large number of genes involved in lateral root (LR) organogenesis have been identified over the last decade using forward and reverse genetic approaches in Arabidopsis thaliana. Nevertheless, how these genes interact to form a LR regulatory network... Read More about Inference of the Arabidopsis lateral root gene regulatory network suggests a bifurcation mechanism that defines primordia flanking and central zones.

Defining vitamin D status using multi-metabolite mathematical modelling: a pregnancy perspective (2019)
Journal Article
Beentjes, C., Taylor-King, J., Bayani, A., Davis, C., Dunster, J., Jabbari, S., …Tamblyn, J. (2019). Defining vitamin D status using multi-metabolite mathematical modelling: a pregnancy perspective. Journal of Steroid Biochemistry and Molecular Biology, 190, 152-160. https://doi.org/10.1016/j.jsbmb.2019.03.024

Vitamin D deficiency is linked to adverse pregnancy outcomes such as pre-eclampsia (PET) but remains defined by serum measurement of 25-hydroxyvitamin D3 (25(OH)D3) alone. To identify broader changes in vitamin D metabolism during normal and PET preg... Read More about Defining vitamin D status using multi-metabolite mathematical modelling: a pregnancy perspective.

Four Ways to Fit an Ion Channel Model (2019)
Journal Article
Clerx, M., Beattie, K., Gavaghan, D., & Mirams, G. (2019). Four Ways to Fit an Ion Channel Model. Biophysical Journal, 117(12), 2420-2437. https://doi.org/10.1016/j.bpj.2019.08.001

© 2019 Biophysical Society Mathematical models of ionic currents are used to study the electrophysiology of the heart, brain, gut, and several other organs. Increasingly, these models are being used predictively in the clinic, for example, to predict... Read More about Four Ways to Fit an Ion Channel Model.

Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System (2019)
Journal Article
Lei, C. L., Clerx, M., Gavaghan, D. J., Polonchuk, L., Mirams, G. R., & Wang, K. (2019). Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System. Biophysical Journal, 117(12), 2438-2454. https://doi.org/10.1016/j.bpj.2019.07.029

Predicting how pharmaceuticals may affect heart rhythm is a crucial step in drug-development, and requires a deep understanding of a compound’s action on ion channels. In vitro hERG-channel current recordings are an important step in evaluating the p... Read More about Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System.

Rapid characterisation of hERG channel kinetics II: temperature dependence (2019)
Journal Article
Lei, C. L., Clerx, M., Beattie, K. A., Melgari, D., Hancox, J. C., Gavaghan, D. J., …Mirams, G. R. (2019). Rapid characterisation of hERG channel kinetics II: temperature dependence. Biophysical Journal, 117(12), 2455-2470. https://doi.org/10.1101/609719

Ion channel behavior can depend strongly on temperature, with faster kinetics at physiological temperatures leading to considerable changes in currents relative to room temperature. These temperature-dependent changes in voltage-dependent ion channel... Read More about Rapid characterisation of hERG channel kinetics II: temperature dependence.

General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy (2019)
Journal Article
Li, Z., Mirams, G. R., Yoshinaga, T., Ridder, B. J., Han, X., Chen, J. E., …Strauss, D. G. (2020). General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy. Clinical Pharmacology and Therapeutics, 107(1), 102-111. https://doi.org/10.1002/cpt.1647

This white paper presents principles for validating proarrhythmia risk prediction models for regulatory use as discussed at the In Silico Breakout Session of a Cardiac Safety Research Consortium/Health and Environmental Sciences Institute/US Food and... Read More about General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy.

Pseudo‐Waveform‐Selective Metasurfaces and their Limited Performance (2020)
Journal Article
Nakasha, T., Phang, S., & Wakatsuchi, H. (2021). Pseudo‐Waveform‐Selective Metasurfaces and their Limited Performance. Advanced Theory and Simulations, 4(1), Article 2000187. https://doi.org/10.1002/adts.202000187

Abstract In recent years, metasurfaces composed of lumped circuit components, including nonlinear Schottky diodes, have been reported to be capable of sensing particular electromagnetic waves even at the same frequency depending on their waveforms, o... Read More about Pseudo‐Waveform‐Selective Metasurfaces and their Limited Performance.

Neural Network Differential Equations For Ion Channel Modelling (2021)
Journal Article
Lei, C. L., & Mirams, G. R. (2021). Neural Network Differential Equations For Ion Channel Modelling. Frontiers in Physiology, 12, Article 708944. https://doi.org/10.3389/fphys.2021.708944

Mathematical models of cardiac ion channels have been widely used to study and predict the behaviour of ion currents. Typically models are built using biophysically-based mechanistic principles such as Hodgkin-Huxley or Markov state transitions. Thes... Read More about Neural Network Differential Equations For Ion Channel Modelling.

A Parameter Representing Missing Charge Should Be Considered when Calibrating Action Potential Models (2022)
Journal Article
Barral, Y. H. M., Shuttleworth, J., Clerx, M., Whittaker, D. G., Wang, K., Polonchuk, L., …Mirams, G. R. (2022). A Parameter Representing Missing Charge Should Be Considered when Calibrating Action Potential Models. Frontiers in Physiology, 13, Article 879035. https://doi.org/10.3389/fphys.2022.879035

Computational models of the electrical potential across a cell membrane are longstanding and vital tools in electrophysiology research and applications. These models describe how ionic currents, internal fluxes, and buffering interact to determine me... Read More about A Parameter Representing Missing Charge Should Be Considered when Calibrating Action Potential Models.

Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo (2022)
Journal Article
Vossler, H., Akilimali, P., Pan, Y., KhudaBukhsh, W. R., Kenah, E., & Rempała, G. A. (2022). Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo. Scientific Reports, 12, Article 5534. https://doi.org/10.1038/s41598-022-09564-4

The 2018–2020 Ebola virus disease epidemic in Democratic Republic of the Congo (DRC) resulted in 3481 cases (probable and confirmed) and 2299 deaths. In this paper, we use a novel statistical method to analyze the individual-level incidence and hospi... Read More about Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo.

The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk (2023)
Journal Article
Lei, C. L., Whittaker, D. G., & Mirams, G. R. (2024). The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk. British Journal of Pharmacology, 181(7), 987-1004. https://doi.org/10.1111/bph.16250

Background and Purpose Drug-induced reduction of the rapid delayed rectifier potassium current carried by the human Ether-à-go-go-Related Gene (hERG) channel is associated with increased risk of arrhythmias. Recent updates to drug safety regulatory... Read More about The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk.

Computational Cardiac Safety Testing (2023)
Book Chapter
Mirams, G. R. (2023). Computational Cardiac Safety Testing. In F. J. Hock, M. R. Gralinski, & M. K. Pugsley (Eds.), Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays (1-33). Springer. https://doi.org/10.1007/978-3-030-73317-9_137-1

In recent years, computational cardiac electrophysiology simulations using mathematical models have begun to be used in industrial and regulatory assessment of the proarrhythmic risk of candidate drug compounds. The aim of this chapter is to equip th... Read More about Computational Cardiac Safety Testing.

Dynamical Survival Analysis for Epidemic Modeling (2023)
Book Chapter
Rempała, G. A., & KhudaBukhsh, W. R. (2023). Dynamical Survival Analysis for Epidemic Modeling. In Handbook of Visual, Experimental and Computational Mathematics: Bridges through Data (1-17). Springer. https://doi.org/10.1007/978-3-030-93954-0_31-1

This chapter describes the dynamical survival analysis (DSA) method for modeling infectious diseases. This method provides a powerful framework for analyzing compartmental models of large epidemics, such as the popular susceptible-infected-recovered... Read More about Dynamical Survival Analysis for Epidemic Modeling.