Evidence map›Paper›PMID 42906029›Full record

ArticleJournal of chemical information and modeling2026

Current-Voltage Characteristics of K+ Channels Estimated by MD Simulations and Markov State Models.

Simone Furini, Luigi Catacuzzeno

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Simone FuriniDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", Alma Mater Studiorum─University of Bologna, via dell'Università 50, Cesena (FC)47521, Italy.ORCID 0000-0002-1099-8279
Luigi CatacuzzenoDepartment of Chemistry, Biology and Biotechnology, University of Perugia, via Elce di Sotto 8, Perugia06123, Italy.

Funding

NextGenerationEU 20223XZ5ER - CUP J53D23006940006
6 · The paper itself

Abstract

Molecular dynamics (MD) simulations have yielded important insights into ion conduction in potassium channels, but quantitative comparison with electrophysiological experiments remains challenging. Due to their high computational cost, MD simulations are typically performed at membrane potentials well above physiological values, and at only a limited number of voltages. Since current-voltage relationships are not necessarily linear, this limits direct comparison between simulations and experiments. Here, we introduce a method to estimate the current-voltage characteristics of ion channels from Markov state models (MSMs) constructed from MD simulations performed at only few membrane potentials. Time-discrete MSMs of ion conduction are converted into continuous-time rate matrices, whose voltage dependence is modeled using a rate theory formulation with free energy barriers depending on membrane potential. This approach enables the prediction of channel currents over a wide voltage range without additional simulations. We validated the method using MD simulations of the potassium channels KcsA and MthK. In both cases, the currents predicted at low membrane potentials are in good agreement with those obtained directly from MD simulations, demonstrating the robustness and efficiency of the approach.

Indexed as

Markov ChainsMolecular Dynamics SimulationPotassium ChannelsMembrane PotentialsPotassium Channels

Identifiers

PMID42906029
PMCPMC13632903

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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.