Evidence map›Paper›PMID 35175690›Full record

ArticleCurrent protocols2022

Creating Ion Channel Kinetic Models Using Cloud Computing.

Kathryn E Mangold, Zhuodong Zhou, Max Schoening, Jonathan D Moreno, Jonathan R Silva

Abstract read
In one paragraph

Article in Current protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kathryn E MangoldDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Zhuodong ZhouDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Max SchoeningDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Jonathan D MorenoDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Jonathan R SilvaDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.

Funding

MODULATION OF CARDIAC NAV CHANNEL FUNCTION AND ELECTROPHYSIOLOGY BY INTERACTING MOLECULESR01HL136553 · NHLBI · WASHINGTON UNIVERSITY · PI SILVA, JONATHAN R · 2017 to 2021
$1.9M
Training in Integrative and Systems Biology of Cardiovascular DiseaseT32HL134635 · NHLBI · WASHINGTON UNIVERSITY · PI NERBONNE, JEANNE M. · 2017 to 2021
$1.8M
NHLBI NIH HHS R01 HL136553NHLBI NIH HHS R01HL136553NHLBI NIH HHS T32 HL134635NHLBI NIH HHS T32-HL134635NIH HHS
6 · The paper itself

Abstract

Computational modeling of ion channels provides key insight into experimental electrophysiology results and can be used to connect channel dynamics to emergent phenomena observed at the tissue and organ levels. However, creation of these models requires substantial mathematical and computational background. This tutorial seeks to lower the barrier to creating these models by providing an automated pipeline for creating Markov models of an ion channel kinetics dataset. We start by detailing how to encode sample voltage-clamp protocols and experimental data into the program and its implementation in a cloud computing environment. We guide the reader on how to build a containerized instance, push the machine image, and finally run the routine on cluster nodes. While providing open-source code has become more standard in computational studies, this tutorial provides unprecedented detail on the use of the program and the creation of channel models, starting from inputting the raw experimental data. © 2022 Wiley Periodicals LLC. Basic Protocol: Creation of ion channel kinetic models with a cloud computing environment Alternate Protocol: Instructions for use in a standard high-performance compute cluster.

Indexed as

Cloud ComputingIon ChannelsComputer SimulationKineticsSoftwareIon Channelsion channelskinetic modelsoptimization

Identifiers

PMID35175690
PMCPMC9006544

What Socratic holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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.