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All Outputs (10)

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.

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 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 Characterization of hERG Channel Kinetics II: Temperature Dependence. Biophysical Journal, 117(12), 2455-2470. https://doi.org/10.1016/j.bpj.2019.07.030

© 2019 Biophysical Society 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 vo... Read More about Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence.

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.

Probabilistic Inference on Noisy Time Series (PINTS) (2019)
Journal Article
Clerx, M., Robinson, M., Lambert, B., Lei, C. L., Ghosh, S., Mirams, G. R., & Gavaghan, D. J. (2019). Probabilistic Inference on Noisy Time Series (PINTS). Journal of Open Research Software, 7(1), 23. https://doi.org/10.5334/jors.252

Time series models are ubiquitous in science, arising in any situation where researchers seek to understand how a system’s behaviour changes over time. A key problem in time series modelling is inference; determining properties of the underlying syst... Read More about Probabilistic Inference on Noisy Time Series (PINTS).

Selective recruitment of different Ca2+-dependent transcription factors by STIM1-Orai1 channel clusters (2019)
Journal Article
Lin, Y., Bakowski, D., Mirams, G. R., & Parekh, A. B. (2019). Selective recruitment of different Ca2+-dependent transcription factors by STIM1-Orai1 channel clusters. Nature Communications, 10(1), https://doi.org/10.1038/s41467-019-10329-3

© 2019, The Author(s). Store-operated Ca2+ entry, involving endoplasmic reticulum Ca2+ sensing STIM proteins and plasma membrane Orai1 channels, is a widespread and evolutionary conserved Ca2+ influx pathway. This form of Ca2+ influx occurs at discre... Read More about Selective recruitment of different Ca2+-dependent transcription factors by STIM1-Orai1 channel clusters.

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.