ArticleBiophysical journal2011
MCMC estimation of Markov models for ion channels.
Article in Biophysical journal, 2011. 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.
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- Using Bayesian priors to overcome non-identifiablility issues in Hidden Markov models.bioRxiv : the preprint server for biology · 2025Article
- The fractal brain: scale-invariance in structure and dynamics.Cerebral cortex (New York, N.Y. : 1991) · 2023Review
- Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.Medical & biological engineering & computing · 2023Article
- Permissive and nonpermissive channel closings in CFTR revealed by a factor graph inference algorithm.Biophysical reports · 2022Article
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- A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes.PLoS computational biology · 2021Article
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- Analysis of patchclamp recordings: model-free multiscale methods and software.European biophysics journal : EBJ · 2021Article
- An MCMC computational approach for a continuous time state-dependent regime switching diffusion process.Journal of applied statistics · 2020Article
- Quantitative Kinetic Models from Intravital Microscopy: A Case Study Using Hepatic Transport.The journal of physical chemistry. B · 2019Article
- Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics.The Journal of physiology · 2018Article
- Gonadotropin-Releasing Hormone (GnRH) Neuron Excitability Is Regulated by Estradiol Feedback and Kisspeptin.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- The relative contributions of store-operated and voltage-gated CaThe Journal of physiology · 2017Article
- Decoding Single Molecule Time Traces with Dynamic Disorder.PLoS computational biology · 2016Article
- Uncertainty and variability in computational and mathematical models of cardiac physiology.The Journal of physiology · 2016Article
- Modelling modal gating of ion channels with hierarchical Markov models.Proceedings. Mathematical, physical, and engineering sciences · 2016Article
- Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction.Biophysical journal · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Ion channels are characterized by inherently stochastic behavior which can be represented by continuous-time Markov models (CTMM). Although methods for collecting data from single ion channels are available, translating a time series of open and closed channels to a CTMM remains a challenge. Bayesian statistics combined with Markov chain Monte Carlo (MCMC) sampling provide means for estimating the rate constants of a CTMM directly from single channel data. In this article, different approaches for the MCMC sampling of Markov models are combined. This method, new to our knowledge, detects overparameterizations and gives more accurate results than existing MCMC methods. It shows similar performance as QuB-MIL, which indicates that it also compares well with maximum likelihood estimators. Data collected from an inositol trisphosphate receptor is used to demonstrate how the best model for a given data set can be found in practice.
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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.