ArticlePloS one2016
Parameterization for In-Silico Modeling of Ion Channel Interactions with Drugs.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed.
- From lipid dynamics to precision predictions: A new approach methodology for precision modeling of phosphoinositide signaling.Journal of precision medicine (Amsterdam, Netherlands) · 2026Article
- Article
- Nanoscale organization in the cell membrane dynamically modulates the biophysics of voltage-gated sodium channels.Nature communications · 2026Article
- Large-scale synthetic data enable digital twins of human excitable cells.bioRxiv : the preprint server for biology · 2025Article
- IonBench: A benchmark of optimisation strategies for mathematical models of ion channel currents.PLoS computational biology · 2025Article
- The conductance of KCNQ2 and its pathogenic variants is determined by individual subunit gating.Science advances · 2025Article
- A novel computational model of swine ventricular myocyte reveals new insights into disease mechanisms and therapeutic approaches in Timothy Syndrome.Scientific reports · 2024Article
- A Reinterpretation of the Relationship between Persistent and Resurgent Sodium Currents.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- A Reinterpretation of the Relationship Between Persistent and Resurgent Sodium Currents.bioRxiv : the preprint server for biology · 2024Article
- Evaluating sequential and allosteric activation models in IKs channels with mutated voltage sensors.The Journal of general physiology · 2024Article
- Computational Modeling of Cardiac Electrophysiology.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Emerging methods to model cardiac ion channel and myocyte electrophysiology.Biophysics reviews · 2023Review
- Article
- Modeling the kinetics of heteromeric potassium channels.Frontiers in cellular neuroscience · 2022Article
- Independent Markov decomposition: Toward modeling kinetics of biomolecular complexes.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Identification of structures for ion channel kinetic models.PLoS computational biology · 2021Article
- Rate-dependent effects of lidocaine on cardiac dynamics: Development and analysis of a low-dimensional drug-channel interaction model.PLoS computational biology · 2021Article
- Electrophysiological and anatomical factors determine arrhythmic risk in acute myocardial ischaemia and its modulation by sodium current availability.Interface focus · 2021Article
- Combination of "generalized Trotter operator splitting" and "quadratic adaptive algorithm" method for tradeoff among speedup, stability, and accuracy in the Markov chain model of sodium ion channels in the ventricular cell model.Medical & biological engineering & computing · 2020Article
- A Review on Applications of Computational Methods in Drug Screening and Design.Molecules (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Since the first Hodgkin and Huxley ion channel model was described in the 1950s, there has been an explosion in mathematical models to describe ion channel function. As experimental data has become richer, models have concomitantly been improved to better represent ion channel kinetic processes, although these improvements have generally resulted in more model complexity and an increase in the number of parameters necessary to populate the models. Models have also been developed to explicitly model drug interactions with ion channels. Recent models of drug-channel interactions account for the discrete kinetics of drug interaction with distinct ion channel state conformations, as it has become clear that such interactions underlie complex emergent kinetics such as use-dependent block. Here, we describe an approach for developing a model for ion channel drug interactions. The method describes the process of extracting rate constants from experimental electrophysiological function data to use as initial conditions for the model parameters. We then describe implementation of a parameter optimization method to refine the model rate constants describing ion channel drug kinetics. The algorithm takes advantage of readily available parallel computing tools to speed up the optimization. Finally, we describe some potential applications of the platform including the potential for gaining fundamental mechanistic insights into ion channel function and applications to in silico drug screening and development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.