Evidence map›Paper›PMID 26290960›Full record

ArticleBiochimica et biophysica acta2015

Equilibrium fluctuation relations for voltage coupling in membrane proteins.

Ilsoo Kim, Arieh Warshel

Open access · greenAbstract read
In one paragraph

Article in Biochimica et biophysica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. HInternational journal of molecular sciences · 2025
    Review
  2. Article
  3. Analyzing the electrogenicity of cytochrome c oxidase.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  4. 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 at 1 institution in 1 country.

Ilsoo KimDepartment of Chemistry, University of Southern California, SGM 418, 3620 McClintock Avenue, Los Angeles, CA 900089, USA.
Arieh WarshelDepartment of Chemistry, University of Southern California, SGM 418, 3620 McClintock Avenue, Los Angeles, CA 900089, USA. Electronic address: warshel@usc.edu.
University of Southern California · US

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

A general theoretical framework is developed to account for the effects of an external potential on the energetics of membrane proteins. The framework is based on the free energy relation between two (forward/backward) probability densities, which was recently generalized to non-equilibrium processes, culminating in the work-fluctuation theorem. Starting from the probability densities of the conformational states along the "voltage coupling" reaction coordinate, we investigate several interconnected free energy relations between these two conformational states, considering voltage activation of ion channels. The free energy difference between the two conformational states at zero (depolarization) membrane potential (i.e., known as the chemical component of free energy change in ion channels) is shown to be equivalent to the free energy difference between the two "equilibrium" (resting and activated) conformational states along the one-dimensional voltage couplin reaction coordinate. Furthermore, the requirement that the application of linear response approximation to the free energy functionals of voltage coupling should satisfy the general free energy relations, yields a novel closed-form expression for the gating charge in terms of other basic properties of ion channels. This connection is familiar in statistical mechanics, known as the equilibrium fluctuation-response relation. The theory is illustrated by considering the coupling of a unit charge to the external voltage in the two sites near the surface of membrane, representing the activated and resting states. This is done using a coarse-graining (CG) model of membrane proteins, which includes the membrane, the electrolytes and the electrodes. The CG model yields Marcus-type voltage dependent free energy parabolas for the response of the electrostatic environment (electrolytes etc.) to the transition from the initial to the final configuratinal states, leading to equilibrium free energy difference and free energy barrier that follow the trend of the equilibrium fluctuation relation and the Marcus theory of electron transfer. These energetics also allow for a direct estimation of the voltage dependence of channel activation (Q-V curve), offering a quantitative rationale for a correlation between the voltage dependence parabolas and the Q-V curve, upon site-directed mutagenesis or drug binding. Taken together, by introducing the voltage coupling as the energy gap reaction coordinate, our framework brings new perspectives to the thermodynamic models of voltage activation in voltage-sensitive membrane proteins, offering an a framework for a better understating of the structure-function correlations of voltage gating in ion channels as well as electrogenic phenomena in ion pumps and transporters. Significantly, this formulation also provides a powerful bridge between the CG model of voltage coupling and the conventional macroscopic treatments.

Indexed as

AlgorithmsModels, TheoreticalIon Channel GatingIon ChannelsKineticsMembrane PotentialsMembrane ProteinsProtein ConformationThermodynamicsIon ChannelsMembrane ProteinsCoarse-grained ModelEquilibrium Fluctuation-Response RelationGating Charge(Gating) Charge-Voltage Relation ElectrogenicityLinear Response Approximation

Identifiers

PMID26290960
PMCPMC4703124
OpenAlexW2172543250

What OpenQuestion holds

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LicenceTDM
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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.