ArticleBiophysical journal2019
Four Ways to Fit an Ion Channel Model.
Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- IonBench: A benchmark of optimisation strategies for mathematical models of ion channel currents.PLoS computational biology · 2025Article
- Optimizing experimental designs for model selection of ion channel drug-binding mechanisms.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Parameter inference for stochastic reaction models of ion channel gating from whole-cell voltage-clamp data.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Evaluating the predictive accuracy of ion-channel models using data from multiple experimental designs.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Evaluating sequential and allosteric activation models in IKs channels with mutated voltage sensors.The Journal of general physiology · 2024Article
- Understanding the impact of numerical solvers on inference for differential equation models.Journal of the Royal Society, Interface · 2024Article
- A range of voltage-clamp protocol designs for rapid capture of hERG kinetics.Wellcome open research · 2024Article
- Computational Modeling of Cardiac Electrophysiology.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Evolution of Consciousness.Life (Basel, Switzerland) · 2023Review
- Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics.Bulletin of mathematical biology · 2023Article
- Kv12-encoded K+ channels drive the day-night switch in the repetitive firing rates of SCN neurons.The Journal of general physiology · 2023Article
- Emerging methods to model cardiac ion channel and myocyte electrophysiology.Biophysics reviews · 2023Review
- Kv12-Encoded KbioRxiv : the preprint server for biology · 2023Article
- Loss or gain of function? Effects of ion channel mutations on neuronal firing depend on the neuron type.Frontiers in neurology · 2023Article
- Models of the cardiac L-type calcium current: A quantitative review.WIREs mechanisms of disease · 2023Review
- A pilot study of ion current estimation by ANN from action potential waveforms.Journal of biological physics · 2022Article
- Ion channel model reduction using manifold boundaries.Journal of the Royal Society, Interface · 2022Article
- Creating Ion Channel Kinetic Models Using Cloud Computing.Current protocols · 2022Article
- Pro-Arrhythmic Effects of Discontinuous Conduction at the Purkinje Fiber-Ventricle Junction Arising From Heart Failure-Induced Ionic Remodeling - Insights From Computational Modelling.Frontiers in physiology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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 the risks and results of genetic mutations, pharmacological treatments, or surgical procedures. These safety-critical applications depend on accurate characterization of the underlying ionic currents. Four different methods can be found in the literature to fit voltage-sensitive ion channel models to whole-cell current measurements: method 1, fitting model equations directly to time-constant, steady-state, and I-V summary curves; method 2, fitting by comparing simulated versions of these summary curves to their experimental counterparts; method 3, fitting to the current traces themselves from a range of protocols; and method 4, fitting to a single current trace from a short and rapidly fluctuating voltage-clamp protocol. We compare these methods using a set of experiments in which hERG1a current was measured in nine Chinese hamster ovary cells. In each cell, the same sequence of fitting protocols was applied, as well as an independent validation protocol. We show that methods 3 and 4 provide the best predictions on the independent validation set and that short, rapidly fluctuating protocols like that used in method 4 can replace much longer conventional protocols without loss of predictive ability. Although data for method 2 are most readily available from the literature, we find it performs poorly compared to methods 3 and 4 both in accuracy of predictions and computational efficiency. Our results demonstrate how novel experimental and computational approaches can improve the quality of model predictions in safety-critical applications.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.