Evidence map›Paper›PMID 25535341›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Free-energy landscape of ion-channel voltage-sensor-domain activation.

Lucie Delemotte, Marina A Kasimova, Michael L Klein, Mounir Tarek, Vincenzo Carnevale

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

32 citing papers in PubMed, 70 citations in OpenAlex.

  1. Voltage-sensing domains: structural and functional diversity.European biophysics journal : EBJ · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Modulation of the IBBA advances · 2023
    Article
  10. Mechanism of voltage gating in the voltage-sensing phosphatase Ci-VSP.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Microcanonical coarse-graining of the kinetic Ising model.The Journal of chemical physics · 2020
    Article
  18. Article
  19. Article
  20. Review
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

5 authors at 3 institutions in 3 countries.

Lucie DelemotteInstitute for Computational Molecular Science, Temple University, Philadelphia, PA 19122;
Marina A KasimovaUniversité de Lorraine, Structure et Réactivité des Systèmes Moléculaires Complexes, Vandoeuvre-lés-Nancy, F-54506 France; Lomonosov Moscow State University, Moscow, 119991, Russian Federation; and.
Michael L KleinInstitute for Computational Molecular Science, Temple University, Philadelphia, PA 19122;
Mounir TarekUniversité de Lorraine, Structure et Réactivité des Systèmes Moléculaires Complexes, Vandoeuvre-lés-Nancy, F-54506 France; Centre National de la Recherche Scientifique, Structure et Réactivité des Systèmes Moléculaires Complexes, Vandoeuvre-lés-Nancy, F-54506 France mounir.tarek@univ-lorraine.fr vincenzo.carnevale@temple.edu.
Vincenzo CarnevaleInstitute for Computational Molecular Science, Temple University, Philadelphia, PA 19122; mounir.tarek@univ-lorraine.fr vincenzo.carnevale@temple.edu.
Temple University · USCentre National de la Recherche Scientifique · FRLomonosov Moscow State University · RU

Funding

X-ray and Neutron Interferometry Studies of Anesthetic Interactions with VoltageP01GM055876 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LOLL, PATRICK J · 1997 to 2017
$22.4M
NIGMS NIH HHS P01 GM055876PHS HHS P01 55876
6 · The paper itself

Abstract

Voltage sensor domains (VSDs) are membrane-bound protein modules that confer voltage sensitivity to membrane proteins. VSDs sense changes in the transmembrane voltage and convert the electrical signal into a conformational change called activation. Activation involves a reorganization of the membrane protein charges that is detected experimentally as transient currents. These so-called gating currents have been investigated extensively within the theoretical framework of so-called discrete-state Markov models (DMMs), whereby activation is conceptualized as a series of transitions across a discrete set of states. Historically, the interpretation of DMM transition rates in terms of transition state theory has been instrumental in shaping our view of the activation process, whose free-energy profile is currently envisioned as composed of a few local minima separated by steep barriers. Here we use atomistic level modeling and well-tempered metadynamics to calculate the configurational free energy along a single transition from first principles. We show that this transition is intrinsically multidimensional and described by a rough free-energy landscape. Remarkably, a coarse-grained description of the system, based on the use of the gating charge as reaction coordinate, reveals a smooth profile with a single barrier, consistent with phenomenological models. Our results bridge the gap between microscopic and macroscopic descriptions of activation dynamics and show that choosing the gating charge as reaction coordinate masks the topological complexity of the network of microstates participating in the transition. Importantly, full characterization of the latter is a prerequisite to rationalize modulation of this process by lipids, toxins, drugs, and genetic mutations.

Indexed as

Ion Channel GatingKv1.2 Potassium ChannelModels, BiologicalModels, MolecularProtein Structure, SecondaryProtein Structure, TertiaryThermodynamicsKv1.2 Potassium Channelelectrophysiologygating kineticsKv1.2metadynamicsvoltage-gated ion channels

Identifiers

PMID25535341
PMCPMC4291615
OpenAlexW2011472228

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.