Literature DB >> 23398369

Why the Drosophila Shaker K+ channel is not a good model for ligand binding to voltage-gated Kv1 channels.

Somayeh Mahdavi1, Serdar Kuyucak.   

Abstract

The Drosophila Shaker K(+) channel is the first cloned voltage-gated potassium channel and has, therefore, played an important role in structural and functional studies of those channels. While such a role is well justified for ion permeation, it is not clear whether this also extends to ligand binding. Despite the high degree of homology among Shaker and Kv1 channels, κ-conotoxin PVIIA (κ-PVIIA) binds to Shaker with high affinity but not to Kv1 channels. Here we address this issue by studying binding of κ-PVIIA to Shaker and Kv1 channels using molecular dynamics (MD) simulations. The structures of the channel-toxin complexes are constructed via docking and refinement with MD. The binding mode of each complex is characterized and compared to available mutagenesis data to validate the complex models. The potential of mean force for dissociation of the Shaker-κ-PVIIA complex is calculated from umbrella sampling MD simulations, and the corresponding binding free energy is determined, which provides further validation of the complex structure. Comparison of the Shaker and Kv1 complex models shows that a few mutations in the turret and extended regions are sufficient to abolish the observed sensitivity of Shaker to κ-PVIIA. This study demonstrates that Shaker is not always a good model for Kv1 channels for ligand binding. It also provides insights into the binding of the toxin to potassium channels that will be useful for improving affinity and selectivity properties of Kv1 channels.

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Year:  2013        PMID: 23398369     DOI: 10.1021/bi301257p

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  13 in total

1.  Efficient enzymatic cyclization of an inhibitory cystine knot-containing peptide.

Authors:  Soohyun Kwon; Frank Bosmans; Quentin Kaas; Olivier Cheneval; Anne C Conibear; K Johan Rosengren; Conan K Wang; Christina I Schroeder; David J Craik
Journal:  Biotechnol Bioeng       Date:  2016-08-09       Impact factor: 4.530

2.  Folding a viral peptide in different membrane environments: pathway and sampling analyses.

Authors:  Shivangi Nangia; Jason G Pattis; Eric R May
Journal:  J Biol Phys       Date:  2018-04-11       Impact factor: 1.365

3.  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

4.  Molecular dynamics study of binding of µ-conotoxin GIIIA to the voltage-gated sodium channel Na(v)1.4.

Authors:  Somayeh Mahdavi; Serdar Kuyucak
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

5.  Systematic study of binding of μ-conotoxins to the sodium channel NaV1.4.

Authors:  Somayeh Mahdavi; Serdar Kuyucak
Journal:  Toxins (Basel)       Date:  2014-12-18       Impact factor: 4.546

6.  Determination of the μ-Conotoxin PIIIA Specificity Against Voltage-Gated Sodium Channels from Binding Energy Calculations.

Authors:  Fangling Chen; Wenxin Huang; Tao Jiang; Rilei Yu
Journal:  Mar Drugs       Date:  2018-05-07       Impact factor: 5.118

Review 7.  Molecular Simulations of Disulfide-Rich Venom Peptides with Ion Channels and Membranes.

Authors:  Evelyne Deplazes
Journal:  Molecules       Date:  2017-02-27       Impact factor: 4.411

Review 8.  Computational Studies of Venom Peptides Targeting Potassium Channels.

Authors:  Rong Chen; Shin-Ho Chung
Journal:  Toxins (Basel)       Date:  2015-12-01       Impact factor: 4.546

Review 9.  Computational studies of marine toxins targeting ion channels.

Authors:  M Harunur Rashid; Somayeh Mahdavi; Serdar Kuyucak
Journal:  Mar Drugs       Date:  2013-03-13       Impact factor: 5.118

10.  Binding modes of two scorpion toxins to the voltage-gated potassium channel kv1.3 revealed from molecular dynamics.

Authors:  Rong Chen; Shin-Ho Chung
Journal:  Toxins (Basel)       Date:  2014-07-22       Impact factor: 4.546

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