Literature DB >> 9929481

Kramers' diffusion theory applied to gating kinetics of voltage-dependent ion channels.

D Sigg1, H Qian, F Bezanilla.   

Abstract

Kramers' diffusion theory of reaction rates in the condensed phase is considered as an alternative to the traditional discrete-state Markov (DSM) model in describing ion channel gating current kinetics. Diffusion theory can be expected to be particularly relevant in describing high-frequency (>100 kHz) events in channel activation. The generalized voltage sensor of a voltage-dependent ion channel is treated as a Brownian motion particle undergoing spatial diffusion along a one-dimensional energy landscape. Two classes of energy landscapes are considered. The first class contains large barriers, which give rise to gating currents with two distinct time scales: the usual low-frequency decay, which can modeled with a DSM scheme, and a high-frequency component arising from intrastate relaxation. Large depolarizations reduce potential barriers to such a degree that activation rates are diffusion limited, causing the two time scales to merge. Landscapes of the second class are either featureless or contain barriers that are small compared to kT; these are termed "drift landscapes." These landscapes require a larger friction coefficient to generate slow gating kinetics. The high-frequency component that appears with barrier models is not present in pure drift motion. The presence of a high-frequency component can be tested experimentally with large-bandwidth recordings of gating currents. Topics such as frequency domain analysis, spatial dependence of the friction coefficient, methods for determining the adequacy of a DSM model, and the development of physical models of gating are explored.

Mesh:

Year:  1999        PMID: 9929481      PMCID: PMC1300081          DOI: 10.1016/S0006-3495(99)77243-7

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


  25 in total

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Journal:  Eur Biophys J       Date:  1992       Impact factor: 1.733

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Authors:  N E Schoppa; K McCormack; M A Tanouye; F J Sigworth
Journal:  Science       Date:  1992-03-27       Impact factor: 47.728

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Authors:  B E Shapiro; H Qian
Journal:  Biophys Chem       Date:  1997-09-01       Impact factor: 2.352

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Authors:  P Läuger
Journal:  Biophys J       Date:  1988-06       Impact factor: 4.033

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Authors:  O B McManus; C E Spivak; A L Blatz; D S Weiss; K L Magleby
Journal:  Biophys J       Date:  1989-02       Impact factor: 4.033

7.  Fractal models are inadequate for the kinetics of four different ion channels.

Authors:  O B McManus; D S Weiss; C E Spivak; A L Blatz; K L Magleby
Journal:  Biophys J       Date:  1988-11       Impact factor: 4.033

8.  Testing fractal and Markov models of ion channel kinetics.

Authors:  L S Liebovitch
Journal:  Biophys J       Date:  1989-02       Impact factor: 4.033

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Authors:  D G Levitt
Journal:  Biophys J       Date:  1989-03       Impact factor: 4.033

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Authors:  G L Millhauser; E E Salpeter; R E Oswald
Journal:  Proc Natl Acad Sci U S A       Date:  1988-03       Impact factor: 11.205

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  28 in total

1.  Nonlinear thermodynamic models of voltage-dependent currents.

Authors:  A Destexhe; J R Huguenard
Journal:  J Comput Neurosci       Date:  2000 Nov-Dec       Impact factor: 1.621

2.  Voltage-dependent membrane capacitance in rat pituitary nerve terminals due to gating currents.

Authors:  G Kilic; M Lindau
Journal:  Biophys J       Date:  2001-03       Impact factor: 4.033

Review 3.  From discrete protein kinetics to continuous Brownian dynamics: a new perspective.

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Journal:  Protein Sci       Date:  2002-01       Impact factor: 6.725

4.  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

5.  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

6.  Fast gating in the Shaker K+ channel and the energy landscape of activation.

Authors:  Daniel Sigg; Francisco Bezanilla; Enrico Stefani
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-12       Impact factor: 11.205

7.  A speed limit for conformational change of an allosteric membrane protein.

Authors:  Sudha Chakrapani; Anthony Auerbach
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-23       Impact factor: 11.205

Review 8.  Multiscale modeling of cardiac cellular energetics.

Authors:  James B Bassingthwaighte; Howard J Chizeck; Les E Atlas; Hong Qian
Journal:  Ann N Y Acad Sci       Date:  2005-06       Impact factor: 5.691

9.  Quantifying multiscale noise sources in single-molecule time series.

Authors:  Christopher P Calderon; Nolan C Harris; Ching-Hwa Kiang; Dennis D Cox
Journal:  J Phys Chem B       Date:  2009-01-08       Impact factor: 2.991

10.  A linkage analysis toolkit for studying allosteric networks in ion channels.

Authors:  Daniel Sigg
Journal:  J Gen Physiol       Date:  2012-12-17       Impact factor: 4.086

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