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Related Concept Videos

Mechanically-gated Ion Channels01:12

Mechanically-gated Ion Channels

Mechanically-gated ion channels are proteins found in eukaryotic and prokaryotic cell membranes that open in response to mechanical stress. Tension, compression, swelling, and shear stress can alter the conformation of the protein, opening a transmembrane channel that allows the passage of ions for signal transmission. In eukaryotes, mechanically-gated channels are distributed in several regions like the neurons, lungs, skin, bladder, and heart, where they play critical roles in numerous...
Mechanically-gated Ion Channels01:12

Mechanically-gated Ion Channels

Mechanically-gated ion channels are proteins found in eukaryotic and prokaryotic cell membranes that open in response to mechanical stress. Tension, compression, swelling, and shear stress can alter the conformation of the protein, opening a transmembrane channel that allows the passage of ions for signal transmission. In eukaryotes, mechanically-gated channels are distributed in several regions like the neurons, lungs, skin, bladder, and heart, where they play critical roles in numerous...
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
Ion Channels01:19

Ion Channels

The movement of ions like sodium, potassium, and calcium into and out of the cell is essential to maintain the electrochemical gradient in living cells. The ion channels—a class of membrane transport proteins—help maintain this ionic gradient for the smooth functioning of physiological activities such as maintaining cell size and volume, conducting nerve impulses, and gas and nutrient exchange.
Ion channels are specialized integral membrane proteins on the plasma membrane that allow specific...
Voltage-gated Ion Channels01:26

Voltage-gated Ion Channels

Voltage-gated ion channels are transmembrane proteins that open and close in response to changes in the membrane potential. They are present on the membranes of all electrically excitable cells such as neurons, heart, and muscle cells.
Generally, all voltage-gated ion channels have a 'voltage-sensing domain' that spans the lipid bilayer. The charged residues in the sensor move in response to the membrane potential changes that open the channel allowing ions movement. There are several types of...
Voltage-gated Ion Channels01:26

Voltage-gated Ion Channels

Voltage-gated ion channels are transmembrane proteins that open and close in response to changes in the membrane potential. They are present on the membranes of all electrically excitable cells such as neurons, heart, and muscle cells.
Generally, all voltage-gated ion channels have a 'voltage-sensing domain' that spans the lipid bilayer. The charged residues in the sensor move in response to the membrane potential changes that open the channel allowing ions movement. There are several types of...

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Bayesian approaches for mechanistic ion channel modeling.

Ben Calderhead1, Michael Epstein, Lucia Sivilotti

  • 1Department of Computing Science, University of Glasgow, Glasgow, Scotland.

Methods in Molecular Biology (Clifton, N.J.)
|May 30, 2013
PubMed
Summary
This summary is machine-generated.

This study explores Bayesian analysis for ligand-gated ion channel models. It addresses challenges in analyzing single-channel data using Markov chain Monte Carlo algorithms for improved mechanistic insights.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Statistical Modeling

Background:

  • Ligand-gated ion channels control ion flow via protein conformational changes.
  • High-resolution time-series data from single channels offer insights into gating dynamics.
  • Maximum-likelihood methods have limitations in analyzing complex channel behavior.

Purpose of the Study:

  • To investigate the Bayesian analysis of mechanistic models for ligand-gated ion channel dynamics.
  • To address statistical challenges in analyzing stochastic reaction mechanisms from experimental data.
  • To compare Markov chain Monte Carlo (MCMC) algorithms for inference in this context.

Main Methods:

  • Bayesian statistical framework for mechanistic modeling.
  • Analysis of high-resolution time-series data from ion channel recordings.
  • Comparison of various Markov chain Monte Carlo (MCMC) algorithms.

Main Results:

  • Identified limitations of maximum-likelihood approaches.
  • Detailed investigation into Bayesian inference for stochastic ion channel models.
  • Comparative performance analysis of different MCMC algorithms for channel gating analysis.

Conclusions:

  • Bayesian analysis offers a robust framework for understanding ion channel gating mechanisms.
  • MCMC algorithms are crucial for tackling the computational challenges in this field.
  • This work provides a foundation for advanced statistical modeling of ion channel function.