Literature DB >> 22261055

Permeation and block of the Kv1.2 channel examined using brownian and molecular dynamics.

Dan Gordon1, Shin-Ho Chung.   

Abstract

Using both Brownian and molecular dynamics, we replicate many of the salient features of Kv1.2, including the current-voltage-concentration profiles and the binding affinity and binding mechanisms of charybdotoxin, a scorpion venom. We also elucidate how structural differences in the inner vestibule can give rise to significant differences in its permeation characteristics. Current-voltage-concentration profiles are constructed using Brownian dynamics simulations, based on the crystal structure 2A79. The results are compatible with experimental data, showing similar conductance, rectification, and saturation with current. Unlike KcsA, for example, the inner pore of Kv1.2 is mainly hydrophobic and neutral, and to explore the consequences of this, we investigate the effect of mutating neutral proline residues at the mouth of the inner vestibule to charged aspartate residues. We find an increased conductance, less inward rectification, and quicker saturation of the current-voltage profile. Our simulations use modifications to our Brownian dynamics program that extend the range of channels that can be usefully modeled. Using molecular dynamics, we investigate the binding of the charybdotoxin scorpion venom to the outer vestibule of the channel. A potential of mean force is derived using umbrella sampling, giving a dissociation constant within a factor of ∼2 to experimentally derived constants. The residues involved in the toxin binding are in agreement with experimental mutagenesis studies. We thus show that the experimental observations on the voltage-gated channel, including the toxin-channel interaction, can reliably be replicated by using the two widely used computational tools.
Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22261055      PMCID: PMC3297784          DOI: 10.1016/j.bpj.2011.10.045

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


  39 in total

1.  Exploring the open pore of the potassium channel from Streptomyces lividans.

Authors:  D Meuser; H Splitt; R Wagner; H Schrempf
Journal:  FEBS Lett       Date:  1999-12-03       Impact factor: 4.124

2.  Brownian dynamics study of an open-state KcsA potassium channel.

Authors:  T W Allen; S H Chung
Journal:  Biochim Biophys Acta       Date:  2001-12-01

3.  Electrostatics of nanosystems: application to microtubules and the ribosome.

Authors:  N A Baker; D Sept; S Joseph; M J Holst; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

Review 4.  Potassium channels.

Authors:  Stephen J Korn; Josef G Trapani
Journal:  IEEE Trans Nanobioscience       Date:  2005-03       Impact factor: 2.935

5.  Brownian dynamics investigation into the conductance state of the MscS channel crystal structure.

Authors:  Taira Vora; Ben Corry; Shin-Ho Chung
Journal:  Biochim Biophys Acta       Date:  2006-04-26

6.  Estimating the dielectric constant of the channel protein and pore.

Authors:  Jin Aun Ng; Taira Vora; Vikram Krishnamurthy; Shin-Ho Chung
Journal:  Eur Biophys J       Date:  2007-09-18       Impact factor: 1.733

7.  Mapping function to structure in a channel-blocking peptide: electrostatic mutants of charybdotoxin.

Authors:  C S Park; C Miller
Journal:  Biochemistry       Date:  1992-09-01       Impact factor: 3.162

8.  Mechanism and energetics of charybdotoxin unbinding from a potassium channel from molecular dynamics simulations.

Authors:  Po-Chia Chen; Serdar Kuyucak
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

9.  Pharmacological characterization of five cloned voltage-gated K+ channels, types Kv1.1, 1.2, 1.3, 1.5, and 3.1, stably expressed in mammalian cell lines.

Authors:  S Grissmer; A N Nguyen; J Aiyar; D C Hanson; R J Mather; G A Gutman; M J Karmilowicz; D D Auperin; K G Chandy
Journal:  Mol Pharmacol       Date:  1994-06       Impact factor: 4.436

10.  Ionic selectivity, saturation, and block in a K+-selective channel from sarcoplasmic reticulum.

Authors:  R Coronado; R L Rosenberg; C Miller
Journal:  J Gen Physiol       Date:  1980-10       Impact factor: 4.086

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  3 in total

Review 1.  Modeling and simulation of ion channels.

Authors:  Christopher Maffeo; Swati Bhattacharya; Jejoong Yoo; David Wells; Aleksei Aksimentiev
Journal:  Chem Rev       Date:  2012-10-04       Impact factor: 60.622

Review 2.  Computational methods of studying the binding of toxins from venomous animals to biological ion channels: theory and applications.

Authors:  Dan Gordon; Rong Chen; Shin-Ho Chung
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

3.  Redox artifacts in electrophysiological recordings.

Authors:  Jonathan M Berman; Mouhamed S Awayda
Journal:  Am J Physiol Cell Physiol       Date:  2013-01-23       Impact factor: 4.249

  3 in total

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