Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.3K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.3K
Precipitation of Ions03:11

Precipitation of Ions

28.5K
Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
28.5K
Ion Channels01:19

Ion Channels

88.6K
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...
88.6K
Mechanically-gated Ion Channels01:12

Mechanically-gated Ion Channels

6.9K
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...
6.9K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

137
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
137
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

809
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
809

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stress Granule Coarsening Is a Pathological Inflection Point for Cardiac Electrophysiological Dysfunction.

bioRxiv : the preprint server for biology·2026
Same author

Cardiac Intensive Care Unit Availability in Rural America: Insights From a Statewide Analysis in Missouri, USA.

Journal of cardiac failure - intersections·2026
Same author

How "America First" Abandoned Global Health: The Case for an African Model.

The American journal of bioethics : AJOB·2026
Same author

Fluid Management of Acute Heart Failure With the Reprieve System: The Randomized Controlled FASTR Trial.

JACC. Heart failure·2026
Same author

When noise tells the story: sex-specific repolarization variability as an early arrhythmia signal.

The Journal of physiology·2026
Same author

RACGAP1 as a Circulating Biomarker of Atrial Fibrillation in Heart Failure: A Dual-Cohort Proteomic Study.

Circulation. Arrhythmia and electrophysiology·2026
Same journal

A Novel Laboratorial Approach to Evaluate Bacterial Microleakage of Endodontic Sealers.

Current protocols·2026
Same journal

TRIAGE Toolkit: Streamlined Discovery of Regulatory Genes and Elements.

Current protocols·2026
Same journal

High-throughput Profiling of Pseudouridines in Microbiome-derived Bacterial RNA.

Current protocols·2026
Same journal

Recombinant Protein Expression in Rhodococcus species.

Current protocols·2026
Same journal

Streamlined In Vitro Transcription for Generating Self-Amplifying RNA With Modified Nucleotides.

Current protocols·2026
Same journal

CODEC Library Preparation From Genomic DNA.

Current protocols·2026
See all related articles

Related Experiment Video

Updated: Oct 3, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.9K

Creating Ion Channel Kinetic Models Using Cloud Computing.

Kathryn E Mangold1, Zhuodong Zhou1, Max Schoening1

  • 1Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.

Current Protocols
|February 17, 2022
PubMed
Summary
This summary is machine-generated.

This tutorial introduces an automated pipeline for creating ion channel Markov models from experimental data. It simplifies computational modeling by detailing cloud computing implementation for easier analysis of channel kinetics.

Keywords:
ion channelskinetic modelsoptimization

More Related Videos

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

9.8K
Capturing the Interaction Kinetics of an Ion Channel Protein with Small Molecules by the Bio-layer Interferometry Assay
10:41

Capturing the Interaction Kinetics of an Ion Channel Protein with Small Molecules by the Bio-layer Interferometry Assay

Published on: March 7, 2018

8.4K

Related Experiment Videos

Last Updated: Oct 3, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.9K
Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

9.8K
Capturing the Interaction Kinetics of an Ion Channel Protein with Small Molecules by the Bio-layer Interferometry Assay
10:41

Capturing the Interaction Kinetics of an Ion Channel Protein with Small Molecules by the Bio-layer Interferometry Assay

Published on: March 7, 2018

8.4K

Area of Science:

  • Biophysics
  • Computational Biology
  • Electrophysiology

Background:

  • Computational modeling of ion channels offers crucial insights into experimental electrophysiology.
  • Developing these models typically demands significant mathematical and computational expertise.
  • Connecting channel dynamics to tissue-level phenomena is essential but challenging.

Purpose of the Study:

  • To reduce the barrier to creating ion channel kinetic models.
  • To provide an automated pipeline for generating Markov models from ion channel kinetics datasets.
  • To offer detailed guidance on using open-source code for model creation.

Main Methods:

  • Encoding voltage-clamp protocols and experimental data into a computational program.
  • Implementing the modeling pipeline in a cloud computing environment.
  • Building containerized instances, pushing machine images, and running routines on cluster nodes.

Main Results:

  • A detailed tutorial for creating ion channel kinetic models.
  • Guidance on utilizing cloud computing for model generation.
  • Instructions for adapting the protocol for high-performance compute clusters.

Conclusions:

  • The developed pipeline automates the creation of ion channel Markov models.
  • This approach significantly lowers the technical barrier for researchers.
  • The tutorial provides unprecedented detail from raw data input to model creation.