Literature DB >> 2520026

Analysis of fractal ion channel gating kinetics: kinetic rates, energy levels, and activation energies.

L S Liebovitch.   

Abstract

Ion channels in the cell membranes of the corneal endothelium, hippocampal neurons, and fibroblasts, and gramicidin channels in lipid bilayers have open and closed times that can be fit, in whole or part, by power law distributions. That is, the gating is self-similar when viewed at different time scales. Hence, kinetic processes at slow and fast time scales are not independent but rather are interrelated. To study how such a relationship can arise we analyze a closed in equilibrium open channel with the fractal dimension for leaving the closed state DCO approximately 2 and the fractal dimension for leaving the open state DOC approximately 1. This special case can be analyzed because it can be represented by equivalent Markov processes. We show that it is equivalent to Markov chains with forward and backward kinetic rate constants approximately equal at each stage, and forming an approximate geometric progression along the different stages. These kinetic rates determine the energy levels and activation energy barriers separating those levels. We find that there are many conformational states (substates) separated by high activation energy barriers. This is similar to the energy structure found for globular proteins such as myoglobin. However, the novel feature reported here is that the activation energy barriers are not independent but are interrelated and form an arithmetic progression. Because of this relationship the fast processes across the low activation energy barriers are linked to slow processes across the high activation energy barriers.

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Year:  1989        PMID: 2520026     DOI: 10.1016/0025-5564(89)90015-1

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

1.  A model of ion channel kinetics based on deterministic, chaotic motion in a potential with two local minima.

Authors:  L S Liebovitch; F P Czegledy
Journal:  Ann Biomed Eng       Date:  1992       Impact factor: 3.934

2.  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

3.  Membrane potential fluctuations of human T-lymphocytes have fractal characteristics of fractional Brownian motion.

Authors:  A M Churilla; W A Gottschalke; L S Liebovitch; L Y Selector; A T Todorov; S Yeandle
Journal:  Ann Biomed Eng       Date:  1996 Jan-Feb       Impact factor: 3.934

4.  Gating of maxi channels observed from pseudo-phase portraits.

Authors:  Sean P Parsons; Jan D Huizinga
Journal:  Am J Physiol Cell Physiol       Date:  2013-01-02       Impact factor: 4.249

5.  Markov, fractal, diffusion, and related models of ion channel gating. A comparison with experimental data from two ion channels.

Authors:  M S Sansom; F G Ball; C J Kerry; R McGee; R L Ramsey; P N Usherwood
Journal:  Biophys J       Date:  1989-12       Impact factor: 4.033

6.  History-dependent Dynamics in a Generic Model of Ion Channels - an Analytic Study.

Authors:  Daniel Soudry; Ron Meir
Journal:  Front Comput Neurosci       Date:  2010-04-08       Impact factor: 2.380

Review 7.  Modeling ion channels: past, present, and future.

Authors:  Daniel Sigg
Journal:  J Gen Physiol       Date:  2014-06-16       Impact factor: 4.086

  7 in total

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