Prediction of Thorough QT study results using action potential simulations based on ion channel screens

Prediction of Thorough QT study results using action potential simulations based on ion channel screens

Introduction: Detection of drug-induced pro-arrhythmic risk is a primary concern for pharmaceutical companies and regulators. Increased risk is linked to prolongation of the QT interval on the body surface ECG. Recent studies have shown that multiple ion channel interactions can be required to predi...

Full description

Bibliographic Details
Main Authors:	Mirams, G, Davies, M, Brough, S, Bridgland−Taylor, M, Cui, Y, Gavaghan, D, Abi−Gerges, N
Format:	Journal article
Published:	2014

Similar Items

Variability in high−throughput ion channel screening data and consequences for cardiac safety assessment
by: Elkins, R, et al.
Published: (2013)

Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment
by: Elkins, R, et al.
Published: (2013)

Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge
by: Beattie, K, et al.
Published: (2013)

Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge
by: Beattie, K, et al.
Published: (2013)

Thorough;
by: White, David Allen, M. Arch Massachusetts Institute of Technology.
Published: (2021)

Hierarchical Bayesian inference for ion channel screening dose-response data
by: Johnstone, R, et al.
Published: (2016)

Thoroughly modern Millie /
by: 318589 Colman, Hila
Published: (1967)

A comparison of existing and new methods for Torsade de Pointes risk classification based on multi-ion channel screening
by: McMillan, B, et al.
Published: (2017)

Four ways to fit an ion channel model
by: Clerx, M, et al.
Published: (2019)

12-channel USB data acquisition system for QT dispersion analysis
by: J., M. Najeb, et al.
Published: (2005)

Hierarchical Bayesian modelling of variability and uncertainty in synthetic action potential traces
by: Johnstone, R, et al.
Published: (2017)

Prolonged QT syndrome presenting as epilepsy.
by: O'Callaghan, C, et al.
Published: (1993)

Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics
by: Beattie, KA, et al.
Published: (2018)

Do thorough study before drawing manifesto, says expert
by: Aufa Mardiah
Published: (2022)

Thorough statistical analyses of breast cancer co-methylation patterns
by: Sun, Shuying, et al.
Published: (2022)

Thorough statistical analyses of breast cancer co-methylation patterns
by: Sun, Shuying, et al.
Published: (2022)

QT-interval adaptation to changes in autonomic balance
by: Nosakhare, Ehimwenma
Published: (2014)

Automated QT interval analysis with confidence measures
by: Hughes, N, et al.
Published: (2004)

A perturbation analysis of spontaneous action potential initiation by stochastic ion channels
by: Keener, J, et al.
Published: (2011)

Cardiac transmembrane ion channels and action potentials: cellular physiology and arrhythmogenic behavior
by: Varró, A, et al.
Published: (2020)

Short-term plasticity as ‘energetic memory’ of ion channel components of action potential
by: Ben Abu, Y, et al.
Published: (2024)

A thorough scrutiny of ELT textbook evaluations: a review inquiry
by: Gholami, Reza, et al.
Published: (2017)

The importance of being thorough: On systematic accumulations of 'what works' in education research
by: Oancea, A, et al.
Published: (2008)

The importance of being thorough: On systematic accumulations of “what works” in education research
by: Oancea, A, et al.
Published: (2008)

Subleading power rapidity divergences and power corrections for qT
by: Ebert, Markus
Published: (2020)

Automated QT analysis that learns from cardiologist annotations.
by: Strachan, I, et al.
Published: (2009)

A thorough benchmark and a new model for light field saliency detection
by: Gao, Wei, et al.
Published: (2023)

A thorough evaluation of the compatibility of an e−business security negotiations support tool
by: Nurse, J, et al.
Published: (2010)

A web portal for in-silico action potential predictions
by: Williams, G, et al.
Published: (2015)

Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk
by: Mirams, G, et al.
Published: (2011)

Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk.
by: Mirams, G, et al.
Published: (2011)

Impact of isolation and fiducial cuts on qT and N-jettiness subtractions
by: Ebert, Markus A, et al.
Published: (2021)

Inhibition of the Na+/Ca2+ exchanger suppresses torsades de pointes in an intact heart model of long QT syndrome-2 and long QT syndrome-3.
by: Milberg, P, et al.
Published: (2008)

Quantitative Comparison of Effects of Dofetilide, Sotalol, Quinidine, and Verapamil between Human Ex vivo Trabeculae and In silico Ventricular Models Incorporating Inter-Individual Action Potential Variability
by: Britton, O, et al.
Published: (2017)

Looking our limitations in the eye: A call for more thorough and honest reporting of study limitations
by: Clarke, B, et al.
Published: (2024)

Does artesunate prolong the electrocardiograph QT interval in patients with severe malaria?
by: Maude, R, et al.
Published: (2009)

Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
by: Johnstone, R, et al.
Published: (2015)

Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
by: Johnstone, R, et al.
Published: (2015)

Comparison of guinea-pig ventricular myocytes and dog Purkinje fibres for in vitro assessment of the potential of compounds to prolong QT interval
by: Terrar, D, et al.
Published: (2002)

Computational assessment of drug−induced effects on the electrocardiogram: from ion channel block to body surface potentials
by: Zemzemi, N, et al.
Published: (2013)