Evidence map›Paper›PMID 21843502›Full record

ArticleBiochimica et biophysica acta2012

Coarse grained model for exploring voltage dependent ion channels.

Anatoly Dryga, Suman Chakrabarty, Spyridon Vicatos, Arieh Warshel

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  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. Analyzing the electrogenicity of cytochrome c oxidase.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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
  17. Article
  18. Article
  19. Coarse-grained simulations of the gating current in the voltage-activated Kv1.2 channel.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  20. Exploring the nature of the translocon-assisted protein insertion.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

4 authors.

Anatoly DrygaDepartment of Chemistry, University of Southern California, Los Angeles, CA 90089-1062, USA.
Suman Chakrabarty
Spyridon Vicatos
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

The relationship between the membrane voltage and the gating of voltage activated ion channels and other systems have been a problem of great current interest. Unfortunately, reliable molecular simulations of external voltage effects present a major challenge, since meaningful converging microscopic simulations are not yet available and macroscopic treatments involve major uncertainties in terms of the dielectric used and other key features. This work extends our coarse grained (CG) model to simulations of membrane/protein systems under external potential. Special attention is devoted to a consistent modeling of the effect of external potential due to the electrodes, emphasizing semimacroscopic description of the electrolytes in the solution regions between the membranes and the electrodes, as well as the coupling between the combined potential from the electrodes plus the electrolytes and the protein ionized groups. We also provide a clear connection to microscopic treatment of the electrolytes and thus can explore possible conceptual problems that are hard to resolve by other current approaches. For example, we obtain a clear description of the charge distribution in the entire electrolyte system, including near the electrodes in membrane/electrodes systems (where continuum models do not seem to provide the relevant results). Furthermore, the present treatment provides an insight on the distribution of the electrolyte charges before and after equilibration across the membrane, and thus on the nature of the gating charge. The different aspects of the model have been carefully validated by considering problems ranging for the simple Debye-Huckel, and the Gouy-Chapman models to the evaluation of the electrolyte distribution between two electrodes, as well as the effect of extending the simulation system by periodic replicas. Overall the clear connection to microscopic descriptions combined with the power of the CG modeling seems to offer a powerful tool for exploring the balance between the protein conformational energy and the interaction with the external potential in voltage activated channels. To illustrate these features we present a preliminary study of the gating charge in the voltage activated Kv1.2 channel, using the actual change in the electrolyte charge distribution rather than the conventional macroscopic estimate. We also discuss other special features of the model, which include the ability to capture the effect of changes in the protonation states of the protein residues during the close to open voltage induced transition. This article is part of a Special Issue entitled: Membrane protein structure and function.

Indexed as

AnimalsComputer SimulationElectrolytesHumansIon Channel GatingIon ChannelsModels, TheoreticalElectrolytesIon Channels

Identifiers

PMID21843502
PMCPMC3232338

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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.