Evidence map›Paper›PMID 24464485›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Coarse-grained simulations of the gating current in the voltage-activated Kv1.2 channel.

Ilsoo Kim, Arieh Warshel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. On the control of the proton current in the voltage-gated proton channel Hv1.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  9. Article
  10. Article
  11. Analyzing the electrogenicity of cytochrome c oxidase.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Free-energy landscape of ion-channel voltage-sensor-domain activation.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  18. Modeling gating charge and voltage changes in response to charge separation in membrane proteins.Proceedings of the National Academy of Sciences of the United States of America · 2014
    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

2 authors.

Ilsoo KimDepartment of Chemistry, University of Southern California, Los Angeles, CA 90089.
Arieh Warshel

Funding

COMPUTER SIMULATION OF ELECTRON TRANSFER REACTIONSR01GM040283 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WARSHEL, ARIEH · 1988 to 2016
$4.2M
NIGMS NIH HHS GM40283NIGMS NIH HHS R01 GM040283
6 · The paper itself

Abstract

Quantitative structure-based modeling of voltage activation of ion channels is very challenging. For example, it is very hard to reach converging results, by microscopic simulations while macroscopic treatments involve major uncertainties regarding key features. The current work overcomes some of the above challenges by using our recently developed coarse-grained (CG) model in simulating the activation of the Kv1.2 channel. The CG model has allowed us to explore problems that cannot be fully addressed at present by microscopic simulations, while providing insights on some features that are not usually considered in continuum models, including the distribution of the electrolytes between the membrane and the electrodes during the activation process and thus the physical nature of the gating current. Here, we demonstrate that the CG model yields realistic gating charges and free energy landscapes that allow us to simulate the fluctuating gating current in the activation processes. Our ability to simulate the time dependence of the fast gating current allows us to reproduce the observed trend and provides a clear description of its relationship to the landscape involved in the activation process.

Indexed as

Ion Channel GatingModels, BiologicalElectrodesKv1.2 Potassium ChannelModels, MolecularKv1.2 Potassium Channelcoarse-grained modelpotassium ion channelvoltage sensing

Identifiers

PMID24464485
PMCPMC3926088

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.