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Biophys. J. BioFAST: First Published September 14, 2007. doi:10.1529/biophysj.107.115139
© 2007 by the Biophysical Society.


A more recent version of this article appeared on January 15, 2008.
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Matthew Hoyles
Vikram Krishnamurthy
May Siksik
Shin-Ho Chung
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BIOPHYSICAL THEORY AND MODELING

Brownian Dynamics Theory for Predicting Internal and External Blockages of Tetraethylammonium in the KcsA Potassium Channel

Matthew Hoyles 1, Vikram Krishnamurthy 2, May Siksik 2 and Shin-Ho Chung 1*

1 Australian National University
2 University of British Columbia

* To whom correspondence should be addressed. E-mail: shin-ho.chung{at}anu.edu.au.

Submitted on June 13, 2007
Revised on July 5, 2007
Accepted on 28 August 2007


   Abstract
The theory of Brownian dynamics is used to model permeation and the blocking of KcsA potassium channels by tetraethylammonium (TEA). A novel Brownian dynamics simulation algorithm is implemented that comprises of two free energy profiles; one profile is seen by the potassium ions and the other by the TEA molecules whose shape is approximated by a sphere. Our simulations reveal that internally applied TEA blocks the passage of K+ ions by physically occluding the pore. A TEA molecule in the external reservoir encounters an attractive energy well created by four tyrosine residues at position 82, in addition to all other attractive and repulsive forces impinging on it. Using Brownian dynamics, we investigate how deep the energy well needs to be to reproduce the experimentally-determined inhibitory constant ki for the TEA blockade of KcsA or the mutant Shaker T449Y. The one-dimensional free energy profile obtained from molecular dynamics is first converted into a one-dimensional potential energy profile, and is then transformed into a three-dimensional free energy profile in Brownian dynamics by adding the short range potential from the channel walls. When converted, the free energy profile calculated from molecular dynamics gives a well depth of ~10 kT. We systematically alter the depths of the profiles, and then use Brownian dynamics simulations to numerically determine the current versus TEA-concentration curves. We show that the sequence of binding and unbinding events of the TEA molecule to the binding pocket can be modeled by a first-order Markov process. The Brownian dynamics simulations also reveal that the probability of a TEA molecule binding to the binding pocket in KcsA potassium channels increases exponentially with TEA concentration and depends also on the applied potential and the K+ concentration in the simulation assembly.

Key Words: Brownian Dynamics, Conductance, Free energy profile, Ion Permeation, KcsA Potassium Channel, Tetraethylamonium







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Copyright © 2007 by the Biophysical Society.