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

The voltage sensitivity of membrane proteins is reflected in the response of the voltage sensing domains (VSDs) to the changes in membrane potential. This response is implicated in the displacement of positively charged residues, associated with the conformational changes of VSDs. The displaced charges generate nonlinear (i.e., voltage-dependent) capacitance current called the gating current (and its corresponding gating charge), which is a key experimental quantity that characterizes voltage activation in VSMP. However, the relevant theoretical/computational approaches, aimed to correlate the structural information on VSMP to electrophysiological measurements, have been rather limited, posing a broad challenge in computer simulations of VSMP. Concomitant with the development of our coarse-graining (CG) model of voltage coupling, we apply our theoretical framework for the treatments of voltage effects in membrane proteins to modeling the VSMP activation, taking the VSDs (Ci-VSD) derived from the Ciona intestinalis voltage sensitive phosphatase (Ci-VSP) as a model system. Our CG model reproduces the observed gating charge of Ci-VSD activation in several different perspectives. In particular, a new closed-form expression of the gating charge is evaluated in both nonequilibrium and equilibrium ways, while considering the fluctuation-dissipation relation that connects a nonequilibrium measurement of the gating charge to an equilibrium measurement of charge fluctuations (i.e., the voltage-independent linear component of membrane capacitance). In turn, the expression uncovers a novel link that connects an equilibrium measurement of the voltage-independent linear capacitance to a nonequilibrium measurement of the voltage-dependent nonlinear capacitance (whose integral over voltage is equal to the gating charge). In addition, our CG model yields capacitor-like voltage dependent free energy parabolas, resulting in the free energy difference and the free energy barrier for the Ci-VSD activation at "zero" (depolarization) membrane potential. Significantly, the resultant voltage dependent energetics enables a direct evaluation of capacitance-voltage relationship (C-V curve) as well as charge-voltage relationship (Q-V curve) that is in a good agreement with the observed measurement of Ci-VSD voltage activation. Importantly, an extension of our kinetic/thermodynamic model of voltage dependent activation in VSMP allows for novel derivations of voltage-dependent rate constants, whose parameters are expressed by the intrinsic properties of VSMP. These novel closed-form expressions offer a physicochemical foundation for the semiempirical Eyring-type voltage dependent rate equations that have been the cornerstone for the phenomenological (kinetic) descriptions of gating and membrane currents in the mechanistic study of ion channels and transporters. Our extended theoretical framework developed in the present study has potential implications on the roles played by gating charge fluctuations for the spike generations in nerve cells within the framework of the Hodgkin-Huxley-type model.

[1]  Ilsoo Kim,et al.  Mechanism of potassium-channel selectivity revealed by Na+ and Li+ binding sites within the KcsA pore , 2009, Nature Structural &Molecular Biology.

[2]  D. Noble,et al.  A transition state theory approach to the kinetics of conductance changes in excitable membranes , 1969, The Journal of Membrane Biology.

[3]  H. Nyquist Thermal Agitation of Electric Charge in Conductors , 1928 .

[4]  C F Stevens,et al.  Inferences about membrane properties from electrical noise measurements. , 1972, Biophysical journal.

[5]  M. Tanouye,et al.  The size of gating charge in wild-type and mutant Shaker potassium channels. , 1992, Science.

[6]  Fred J. Sigworth,et al.  Activation of Shaker Potassium Channels , 1998, The Journal of general physiology.

[7]  P. Läuger Thermodynamic and kinetic properties of electrogenic ion pumps. , 1984, Biochimica et biophysica acta.

[8]  B. Roux The membrane potential and its representation by a constant electric field in computer simulations. , 2008, Biophysical journal.

[9]  Arieh Warshel,et al.  Refining the treatment of membrane proteins by coarse‐grained models , 2016, Proteins.

[10]  S. Creighton,et al.  Simulation of free energy relationships and dynamics of SN2 reactions in aqueous solution , 1988 .

[11]  Cohen,et al.  Dynamical Ensembles in Nonequilibrium Statistical Mechanics. , 1994, Physical review letters.

[12]  Evans,et al.  Equilibrium microstates which generate second law violating steady states. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[13]  Arieh Warshel,et al.  Microscopic simulations of macroscopic dielectric constants of solvated proteins , 1991 .

[14]  G. Crooks Nonequilibrium Measurements of Free Energy Differences for Microscopically Reversible Markovian Systems , 1998 .

[15]  F. Bezanilla,et al.  Tuning the voltage-sensor motion with a single residue. , 2012, Biophysical journal.

[16]  Youxing Jiang,et al.  The principle of gating charge movement in a voltage-dependent K+ channel , 2003, Nature.

[17]  R. Marcus,et al.  Theory for rates, equilibrium constants, and Brønsted slopes in F1-ATPase single molecule imaging experiments , 2015, Proceedings of the National Academy of Sciences.

[18]  Xiao Tao,et al.  A Gating Charge Transfer Center in Voltage Sensors , 2010, Science.

[19]  C. Jarzynski Nonequilibrium Equality for Free Energy Differences , 1996, cond-mat/9610209.

[20]  F Bezanilla,et al.  Inactivation of the sodium channel. II. Gating current experiments , 1977, The Journal of general physiology.

[21]  F. Bezanilla,et al.  Moving gating charges through the gating pore in a Kv channel voltage sensor , 2014, Proceedings of the National Academy of Sciences.

[22]  P. Läuger Transport noise in membranes. Current and voltage fluctuations at equilibrium. , 1978, Biochimica et biophysica acta.

[23]  Evans,et al.  Probability of second law violations in shearing steady states. , 1993, Physical review letters.

[24]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1990 .

[25]  Ron O. Dror,et al.  Mechanism of Voltage Gating in Potassium Channels , 2012, Science.

[26]  B. Eisenberg,et al.  Relating microscopic charge movement to macroscopic currents: the Ramo-Shockley theorem applied to ion channels. , 2004, Biophysical journal.

[27]  C F Stevens,et al.  Interactions between intrinsic membrane protein and electric field. An approach to studying nerve excitability. , 1978, Biophysical journal.

[28]  A. Warshel,et al.  Coarse-grained simulations of the gating current in the voltage-activated Kv1.2 channel , 2014, Proceedings of the National Academy of Sciences.

[29]  Yongsheng Chen,et al.  An overview of the applications of graphene-based materials in supercapacitors. , 2012, Small.

[30]  David E. Clapham,et al.  A voltage-gated proton-selective channel lacking the pore domain , 2006, Nature.

[31]  A. Gossard,et al.  Nonequilibrium fluctuation relations in a quantum coherent conductor. , 2009, Physical review letters.

[32]  Sunhwan Jo,et al.  CHARMM‐GUI Membrane Builder toward realistic biological membrane simulations , 2014, J. Comput. Chem..

[33]  Charles H. Bennett,et al.  Efficient estimation of free energy differences from Monte Carlo data , 1976 .

[34]  Jianpeng Ma,et al.  CHARMM: The biomolecular simulation program , 2009, J. Comput. Chem..

[35]  Toby W Allen,et al.  Bennett's acceptance ratio and histogram analysis methods enhanced by umbrella sampling along a reaction coordinate in configurational space. , 2012, The Journal of chemical physics.

[36]  J. Johnson Thermal Agitation of Electricity in Conductors , 1927, Nature.

[37]  Arieh Warshel,et al.  Realistic simulation of the activation of voltage-gated ion channels , 2012, Proceedings of the National Academy of Sciences.

[38]  A. Warshel,et al.  Calculations of antibody-antigen interactions: microscopic and semi-microscopic evaluation of the free energies of binding of phosphorylcholine analogs to McPC603. , 1992, Protein engineering.

[39]  Arieh Warshel,et al.  An empirical valence bond approach for comparing reactions in solutions and in enzymes , 1980 .

[40]  A. Fersht,et al.  Transition-state stabilization in the mechanism of tyrosyl-tRNA synthetase revealed by protein engineering. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[41]  Cian O'Donnell,et al.  Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise , 2014, Front. Comput. Neurosci..

[42]  Rudolph A. Marcus,et al.  Theoretical relations among rate constants, barriers, and Broensted slopes of chemical reactions , 1968 .

[43]  Yasushi Okamura,et al.  Phosphoinositide phosphatase activity coupled to an intrinsic voltage sensor , 2005, Nature.

[44]  A. Warshel,et al.  Mechanistic analysis of the observed linear free energy relationships in p21ras and related systems. , 1996, Biochemistry.

[45]  Hong Qian,et al.  Stochastic dynamics of electrical membrane with voltage-dependent ion channel fluctuations , 2014, 1404.1548.

[46]  G. Nicolis,et al.  Thermal Fluctuations in Nonlinear Chemical Systems , 1981 .

[47]  Werner Treptow,et al.  Intermediate states of the Kv1.2 voltage sensor from atomistic molecular dynamics simulations , 2011, Proceedings of the National Academy of Sciences.

[48]  J. Ruppersberg Ion Channels in Excitable Membranes , 1996 .

[49]  G. Crooks Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[50]  F J Sigworth,et al.  Voltage gating of ion channels , 1994, Quarterly Reviews of Biophysics.

[51]  Francisco Bezanilla,et al.  Gating charge displacement in voltage-gated ion channels involves limited transmembrane movement , 2005, Nature.

[52]  F Bezanilla,et al.  Gating of Shaker K+ channels: II. The components of gating currents and a model of channel activation. , 1994, Biophysical journal.

[53]  David Chandler,et al.  Charge fluctuations in nanoscale capacitors. , 2013, Physical review letters.

[54]  A. Warshel,et al.  Origin of Linear Free Energy Relationships: Exploring the Nature of the Off-Diagonal Coupling Elements in SN2 Reactions , 2012 .

[55]  H. Lecar,et al.  Electrostatic model of S4 motion in voltage-gated ion channels. , 2003, Biophysical journal.

[56]  Ilsoo Kim,et al.  On the selective ion binding hypothesis for potassium channels , 2011, Proceedings of the National Academy of Sciences.

[57]  Klaus Schulten,et al.  Biophysical Journal, Volume 98 Supporting Material Calculation of the Gating Charge for the Kv1.2 Voltage–activated Potassium Channel , 2022 .

[58]  A. Warshel,et al.  Equilibrium fluctuation relations for voltage coupling in membrane proteins. , 2015, Biochimica et biophysica acta.

[59]  Klaus Schulten,et al.  Structural mechanism of voltage-dependent gating in an isolated voltage-sensing domain , 2013, Nature Structural &Molecular Biology.

[60]  Paul L. McEuen,et al.  High Performance Electrolyte Gated Carbon Nanotube Transistors , 2002 .

[61]  C. Jarzynski Hamiltonian Derivation of a Detailed Fluctuation Theorem , 1999, cond-mat/9908286.

[62]  Fred J. Sigworth,et al.  Structural biology: Life's transistors , 2003, Nature.

[63]  A. Warshel,et al.  Modeling gating charge and voltage changes in response to charge separation in membrane proteins , 2014, Proceedings of the National Academy of Sciences.

[64]  Deri Morgan,et al.  The voltage dependence of NADPH oxidase reveals why phagocytes need proton channels , 2003, Nature.

[65]  Arieh Warshel,et al.  Microscopic and semimicroscopic calculations of electrostatic energies in proteins by the POLARIS and ENZYMIX programs , 1993, J. Comput. Chem..

[66]  A. Vulpiani,et al.  Fluctuation-dissipation: Response theory in statistical physics , 2008, 0803.0719.

[67]  L. Hammett,et al.  Some Relations between Reaction Rates and Equilibrium Constants. , 1935 .

[68]  Arieh Warshel,et al.  An effective Coarse‐grained model for biological simulations: Recent refinements and validations , 2014, Proteins.

[69]  Thomas F. Miller,et al.  Direct simulation of proton-coupled electron transfer across multiple regimes. , 2013, The Journal of chemical physics.

[70]  Andrei L. Lomize,et al.  OPM: Orientations of Proteins in Membranes database , 2006, Bioinform..

[71]  Baron Chanda,et al.  Estimating the voltage-dependent free energy change of ion channels using the median voltage for activation , 2012, The Journal of general physiology.

[72]  Alain Destexhe,et al.  Nonlinear Thermodynamic Models of Voltage-Dependent Currents , 2000, Journal of Computational Neuroscience.

[73]  B. Roux Influence of the membrane potential on the free energy of an intrinsic protein. , 1997, Biophysical journal.

[74]  P Hänggi,et al.  Capacitance fluctuations causing channel noise reduction in stochastic Hodgkin–Huxley systems , 2006, Physical biology.

[75]  A. Warshel,et al.  Computer Simulations of Electron-Transfer Reactions in Solution and in Photosynthetic Reaction Centers , 1992 .

[76]  Arieh Warshel,et al.  Simulation of enzyme reactions using valence bond force fields and other hybrid quantum/classical approaches , 1993 .

[77]  Arieh Warshel,et al.  LINEAR FREE ENERGY RELATIONSHIPS IN ENZYMES. THEORETICAL ANALYSIS OF THE REACTION OF TYROSYL-TRNA SYNTHETASE , 1994 .

[78]  M. Trudeau,et al.  Handbook of ion channels , 2015 .

[79]  A. Warshel,et al.  Computer simulations of electron-transfer reactions in solution and in photosynthetic reaction centers. , 1991, Annual review of physical chemistry.

[80]  Peter Hänggi,et al.  Ion channel gating: A first-passage time analysis of the Kramers type , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[81]  T. L. Hill,et al.  On the theory of ion transport across the nerve membrane. VI. Free energy and activation free energies of conformational change. , 1972, Proceedings of the National Academy of Sciences of the United States of America.