Literature DB >> 22261053

Modeling the binding of three toxins to the voltage-gated potassium channel (Kv1.3).

Rong Chen1, Anna Robinson, Dan Gordon, Shin-Ho Chung.   

Abstract

The conduction properties of the voltage-gated potassium channel Kv1.3 and its modes of interaction with several polypeptide venoms are examined using Brownian dynamics simulations and molecular dynamics calculations. Employing an open-state homology model of Kv1.3, we first determine current-voltage and current-concentration curves and ascertain that simulated results accord with experimental measurements. We then investigate, using a molecular docking method and molecular dynamics simulations, the complexes formed between the Kv1.3 channel and several Kv-specific polypeptide toxins that are known to interfere with the conducting mechanisms of several classes of voltage-gated K(+) channels. The depths of potential of mean force encountered by charybdotoxin, α-KTx3.7 (also known as OSK1) and ShK are, respectively, -19, -27, and -25 kT. The dissociation constants calculated from the profiles of potential of mean force correspond closely to the experimentally determined values. We pinpoint the residues in the toxins and the channel that are critical for the formation of the stable venom-channel complexes.
Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22261053      PMCID: PMC3297799          DOI: 10.1016/j.bpj.2011.10.029

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


  37 in total

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2.  The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling.

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3.  Toxin-induced conformational changes in a potassium channel revealed by solid-state NMR.

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5.  Comparative study of the energetics of ion permeation in Kv1.2 and KcsA potassium channels.

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6.  Conduction properties of the cloned Shaker K+ channel.

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

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Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

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  27 in total

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Review 4.  Computational methods of studying the binding of toxins from venomous animals to biological ion channels: theory and applications.

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Review 5.  Computational approaches for designing potent and selective analogs of peptide toxins as novel therapeutics.

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Journal:  Future Med Chem       Date:  2014-10       Impact factor: 3.808

6.  Margatoxin-bound quantum dots as a novel inhibitor of the voltage-gated ion channel Kv1.3.

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7.  Molecular dynamics simulations of scorpion toxin recognition by the Ca(2+)-activated potassium channel KCa3.1.

Authors:  Rong Chen; Shin-Ho Chung
Journal:  Biophys J       Date:  2013-10-15       Impact factor: 4.033

8.  Genomic Structure of Two Kv1.3 Channel Blockers from Scorpion Mesobuthus eupeus and Sea Anemone Stichodactyla haddoni and Construction of their Chimeric Peptide as a Novel Blocker.

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9.  Structural basis of the selective block of Kv1.2 by maurotoxin from computer simulations.

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10.  Computational design of a carbon nanotube fluorofullerene biosensor.

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