Literature DB >> 26290960

Equilibrium fluctuation relations for voltage coupling in membrane proteins.

Ilsoo Kim1, Arieh Warshel2.   

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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  (Gating) Charge-Voltage Relation Electrogenicity; Coarse-grained Model; Equilibrium Fluctuation-Response Relation; Gating Charge; Linear Response Approximation

Mesh:

Substances:

Year:  2015        PMID: 26290960      PMCID: PMC4703124          DOI: 10.1016/j.bbamem.2015.08.008

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  56 in total

1.  K(+)/Na(+) selectivity of the KcsA potassium channel from microscopic free energy perturbation calculations.

Authors:  V B Luzhkov; J Aqvist
Journal:  Biochim Biophys Acta       Date:  2001-08-13

2.  Simulations of ion current in realistic models of ion channels: the KcsA potassium channel.

Authors:  A Burykin; C N Schutz; J Villá; A Warshel
Journal:  Proteins       Date:  2002-05-15

3.  Electrostatic model of S4 motion in voltage-gated ion channels.

Authors:  Harold Lecar; H Peter Larsson; Michael Grabe
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

4.  On the selective ion binding hypothesis for potassium channels.

Authors:  Ilsoo Kim; Toby W Allen
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-19       Impact factor: 11.205

5.  Mechanism of voltage gating in potassium channels.

Authors:  Morten Ø Jensen; Vishwanath Jogini; David W Borhani; Abba E Leffler; Ron O Dror; David E Shaw
Journal:  Science       Date:  2012-04-13       Impact factor: 47.728

6.  Gating charge displacement in voltage-gated ion channels involves limited transmembrane movement.

Authors:  Baron Chanda; Osei Kwame Asamoah; Rikard Blunck; Benoît Roux; Francisco Bezanilla
Journal:  Nature       Date:  2005-08-11       Impact factor: 49.962

7.  The membrane potential and its representation by a constant electric field in computer simulations.

Authors:  Benoît Roux
Journal:  Biophys J       Date:  2008-07-18       Impact factor: 4.033

8.  Modeling gating charge and voltage changes in response to charge separation in membrane proteins.

Authors:  Ilsoo Kim; Suman Chakrabarty; Peter Brzezinski; Arieh Warshel
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-21       Impact factor: 11.205

9.  Energetic role of the paddle motif in voltage gating of Shaker K(+) channels.

Authors:  Yanping Xu; Yajamana Ramu; Hyeon-Gyu Shin; Jayden Yamakaze; Zhe Lu
Journal:  Nat Struct Mol Biol       Date:  2013-03-31       Impact factor: 15.369

Review 10.  Ion selectivity in channels and transporters.

Authors:  Benoît Roux; Simon Bernèche; Bernhard Egwolf; Bogdan Lev; Sergei Y Noskov; Christopher N Rowley; Haibo Yu
Journal:  J Gen Physiol       Date:  2011-05       Impact factor: 4.086

View more
  3 in total

1.  Analyzing the electrogenicity of cytochrome c oxidase.

Authors:  Ilsoo Kim; Arieh Warshel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-28       Impact factor: 11.205

2.  A Microscopic Capacitor Model of Voltage Coupling in Membrane Proteins: Gating Charge Fluctuations in Ci-VSD.

Authors:  Ilsoo Kim; Arieh Warshel
Journal:  J Phys Chem B       Date:  2016-01-14       Impact factor: 2.991

3.  A novel theoretical framework reveals more than one voltage-sensing pathway in the lateral membrane of outer hair cells.

Authors:  Brenda Farrell; Benjamin L Skidmore; Vivek Rajasekharan; William E Brownell
Journal:  J Gen Physiol       Date:  2020-07-06       Impact factor: 4.086

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.