Data · dataset · 2026
Current–Voltage Characteristics of K+ Channels Estimated by MD Simulations and Markov State Models
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1021/acs.jcim.6c01258.s001
Molecular dynamics (MD) simulations have yielded important insights into ion conduction in potassium channels, but quantitative comparison with electrophysiological experiments remains challenging.
Description
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.
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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.
Links
Where it is published
- DOI doi.org/10.1021/acs.jcim.6c01258.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Biochemistry and cell biology · Biochemistry and cell biology · Biochemistry and cell biology · Chemistry · Chemistry · Chemistry · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Genetics · Genetics · Genetics · Life Sciences · Life Sciences · Life Sciences · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health
Provenance · 3 source records, 26 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/33435397 | 10 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/33435397 | 10 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/33435397 | 10 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].anzsrc:group:3101 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3101 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3105 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Genetics'] |
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| concepts[field].anzsrc:group:3105 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Genetics'] |
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| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |