Evidence map›Paper›PMID 41606272›Full record

ReviewAdvances in experimental medicine and biology2026

Understanding Ion Channel Gating Mechanisms by Molecular Dynamics Simulations.

Meng Cui, Yongcheng Lu, Diomedes E Logothetis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. 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. Allosteric coupling between PIPProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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

3 authors.

Meng CuiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA. m.cui@northeastern.edu.ORCID https://orcid.org/0000-0002-3895-135X
Yongcheng LuDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA.ORCID https://orcid.org/0009-0002-6951-1696
Diomedes E LogothetisDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA. d.logothetis@northeastern.edu.ORCID https://orcid.org/0000-0002-0576-884X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug discovery of membrane proteins, such as ion channels, presents an unprecedented opportunity through recent breakthroughs in the determination of atomic resolution 3D cryo-electron microscopy structures of these proteins. Structure-based drug discovery utilizing in silico methods enables the study of the dynamic connectivity of stable conformations induced by the drug to achieve its effect. With the ever-expanding computational power, simulations of this type reveal protein dynamics in the nano-, micro-, and even millisecond time scales. In the course of hundreds of nanoseconds to a few microseconds, such simulations can capture ion permeation as a result of the gating of ion channel proteins. We call these MD simulations Gating (GMD) as we can see gating and ion permeation during the simulations. Coupled with these technological breakthroughs, our understanding of key common steps regulating the activation of ion channels has matured, allowing us to understand in depth the mechanisms involved in activating an ion channel to perform its function. The insights we have been able to obtain from these GMD simulations have provided an unprecedented understanding of the biological mechanisms of activation of ion channels by PIP

Indexed as

Ion Channel GatingIon ChannelsMolecular Dynamics SimulationAnimalsHumansProtein ConformationIon ChannelsConformational changesElectrostatic potentialGIRK channel, cholesterol, MD simulationsInteraction network analysisIon channel activationProtein-ligand interactions

Identifiers

What OpenQuestion holds

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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 OpenQuestion graph.