Literature DB >> 2467698

Continuum model of voltage-dependent gating. Macroscopic conductance, gating current, and single-channel behavior.

D G Levitt1.   

Abstract

It is assumed that the conformational change of the voltage-gated channel is continuous, characterized by movement along a generalized one-dimensional reaction coordinate, x, varying from 0 to 1. This large conformational change is coupled to the movement of most of the gating charge. Superimposed on this large movement is a smaller, very fast conformational change that opens or closes the channel. The large conformational change perturbs the channel so that opening is favored near x = 1 and closing is favored near x = 0. The movement along the x axis is described by a generalized Nernst-Planck equation, whereas the open-close transition is modeled as a discrete reaction-rate process. The macroscopic conductance, gating current, and single-channel behavior of a simple, linearized version of the model is described. Although the model has only seven adjustable constants (about the same as would be required for a conventional three-state model), it can mimic the behavior of the delayed rectified K+ channel with 12 or more closed states. The single-channel behavior of the model can have bursts of rapid openings and closings, separated by long closed times. If the conformational change is assumed to correspond to the rotation and translation of charged helices, then this model can be used to estimate the effective rotational diffusion coefficient of the helix. Such calculations for the delayed rectifier K+ channel indicate that the motion must be very restricted.

Mesh:

Substances:

Year:  1989        PMID: 2467698      PMCID: PMC1330502          DOI: 10.1016/S0006-3495(89)82842-5

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  14 in total

1.  Inverse relationship of the durations of adjacent open and shut intervals for C1 and K channels.

Authors:  O B McManus; A L Blatz; K L Magleby
Journal:  Nature       Date:  1985 Oct 17-23       Impact factor: 49.962

2.  A general solution to the time interval omission problem applied to single channel analysis.

Authors:  B Roux; R Sauvé
Journal:  Biophys J       Date:  1985-07       Impact factor: 4.033

3.  Correcting single channel data for missed events.

Authors:  A L Blatz; K L Magleby
Journal:  Biophys J       Date:  1986-05       Impact factor: 4.033

4.  Fractal analysis of a voltage-dependent potassium channel from cultured mouse hippocampal neurons.

Authors:  L S Liebovitch; J M Sullivan
Journal:  Biophys J       Date:  1987-12       Impact factor: 4.033

5.  Fluctuations in the microsecond time range of the current through single acetylcholine receptor ion channels.

Authors:  D Colquhoun; B Sakmann
Journal:  Nature       Date:  1981-12-03       Impact factor: 49.962

6.  Estimating kinetic constants from single channel data.

Authors:  R Horn; K Lange
Journal:  Biophys J       Date:  1983-08       Impact factor: 4.033

7.  Lateral and rotational diffusion of bacteriorhodopsin in lipid bilayers: experimental test of the Saffman-Delbrück equations.

Authors:  R Peters; R J Cherry
Journal:  Proc Natl Acad Sci U S A       Date:  1982-07       Impact factor: 11.205

8.  Potassium ion current in the squid giant axon: dynamic characteristic.

Authors:  K S COLE; J W MOORE
Journal:  Biophys J       Date:  1960-09       Impact factor: 4.033

9.  Activation of squid axon K+ channels. Ionic and gating current studies.

Authors:  M M White; F Bezanilla
Journal:  J Gen Physiol       Date:  1985-04       Impact factor: 4.086

10.  Sodium and gating current time shifts resulting from changes in initial conditions.

Authors:  R E Taylor; F Bezanilla
Journal:  J Gen Physiol       Date:  1983-06       Impact factor: 4.086

View more
  14 in total

1.  Ion channel gating: a first-passage time analysis of the Kramers type.

Authors:  Igor Goychuk; Peter Hänggi
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-12       Impact factor: 11.205

2.  A physical model of potassium channel activation: from energy landscape to gating kinetics.

Authors:  Daniel Sigg; Francisco Bezanilla
Journal:  Biophys J       Date:  2003-06       Impact factor: 4.033

3.  Percolation model of ionic channel dynamics.

Authors:  W Doster; W Schirmacher; M Settles
Journal:  Biophys J       Date:  1990-03       Impact factor: 4.033

4.  Reptation theory of ion channel gating.

Authors:  G L Millhauser
Journal:  Biophys J       Date:  1990-04       Impact factor: 4.033

5.  Using fractals to understand the opening and closing of ion channels.

Authors:  L S Liebovitch; T I Tóth
Journal:  Ann Biomed Eng       Date:  1990       Impact factor: 3.934

6.  Diffusion model in ion channel gating. Extension to agonist-activated ion channels.

Authors:  R E Oswald; G L Millhauser; A A Carter
Journal:  Biophys J       Date:  1991-05       Impact factor: 4.033

Review 7.  Calcium-activated potassium channels: regulation by calcium.

Authors:  O B McManus
Journal:  J Bioenerg Biomembr       Date:  1991-08       Impact factor: 2.945

8.  Single ion channel models incorporating aggregation and time interval omission.

Authors:  F G Ball; G F Yeo; R K Milne; R O Edeson; B W Madsen; M S Sansom
Journal:  Biophys J       Date:  1993-02       Impact factor: 4.033

9.  Time course of reactions controlled and gated by intramolecular dynamics of proteins: predictions of the model of random walk on fractal lattices.

Authors:  M Kurzynski; K Palacz; P Chelminiak
Journal:  Proc Natl Acad Sci U S A       Date:  1998-09-29       Impact factor: 11.205

Review 10.  Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism.

Authors:  A Destexhe; Z F Mainen; T J Sejnowski
Journal:  J Comput Neurosci       Date:  1994-08       Impact factor: 1.621

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.