Literature DB >> 27640211

Complexes of Peptide Blockers with Kv1.6 Pore Domain: Molecular Modeling and Studies with KcsA-Kv1.6 Channel.

O V Nekrasova1,2, A D Volyntseva1, K S Kudryashova1,2, V N Novoseletsky1, E A Lyapina1, A V Illarionova2, S A Yakimov2, Yu V Korolkova2, K V Shaitan1, M P Kirpichnikov1,2, A V Feofanov3,4.   

Abstract

Potassium voltage-gated Kv1.6 channel, which is distributed primarily in neurons of central and peripheral nervous systems, is of significant physiological importance. To date, several high-affinity Kv1.6-channel blockers are known, but the lack of selective ones among them hampers the studies of tissue localization and functioning of Kv1.6 channels. Here we present an approach to advanced understanding of interactions of peptide toxin blockers with a Kv1.6 pore. It combines molecular modeling studies and an application of a new bioengineering system based on a KcsA-Kv1.6 hybrid channel for the quantitative fluorescent analysis of blocker-channel interactions. Using this system we demonstrate that peptide toxins agitoxin 2, kaliotoxin1 and OSK1 have similar high affinity to the extracellular vestibule of the K+-conducting pore of Kv1.6, hetlaxin is a low-affinity ligand, whereas margatoxin and scyllatoxin do not bind to Kv1.6 pore. Binding of toxins to Kv1.6 pore has considerable inverse dependence on the ionic strength. Model structures of KcsA-Kv1.6 and Kv1.6 complexes with agitoxin 2, kaliotoxin 1 and OSK1 were obtained using homology modeling and molecular dynamics simulation. Interaction interfaces, which are formed by 15-19 toxin residues and 10 channel residues, are described and compared. Specific sites of Kv1.6 pore recognition are identified for targeting of peptide blockers. Analysis of interactions between agitoxin 2 derivatives with point mutations (S7K, S11G, L19S, R31G) and KcsA-Kv1.6 confirms reliability of the calculated complex structure.

Entities:  

Keywords:  Binding assay; Membrane protein expression; Molecular dynamics; Molecular modeling; Scorpion toxins; Voltage-gated potassium channel

Mesh:

Substances:

Year:  2016        PMID: 27640211     DOI: 10.1007/s11481-016-9710-9

Source DB:  PubMed          Journal:  J Neuroimmune Pharmacol        ISSN: 1557-1890            Impact factor:   4.147


  61 in total

1.  Modeling the structure of agitoxin in complex with the Shaker K+ channel: a computational approach based on experimental distance restraints extracted from thermodynamic mutant cycles.

Authors:  Mats A L Eriksson; Benoît Roux
Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

2.  Hetlaxin, a new toxin from the Heterometrus laoticus scorpion venom, interacts with voltage-gated potassium channel Kv1.3.

Authors:  Hoang Ngoc Anh; Vo Do Minh Hoang; K S Kudryashova; O V Nekrasova; A V Feofanov; T V Andreeva; V I Tsetlin; Yu N Utkin
Journal:  Dokl Biochem Biophys       Date:  2013-05-09       Impact factor: 0.788

3.  The loss of interneuron functional diversity in the piriform cortex after induction of experimental epilepsy.

Authors:  Cezar Gavrilovici; Emily Pollock; Michelle Everest; Michael O Poulter
Journal:  Neurobiol Dis       Date:  2012-07-16       Impact factor: 5.996

4.  Spatial localization of the K+ channel selectivity filter by mutant cycle-based structure analysis.

Authors:  R Ranganathan; J H Lewis; R MacKinnon
Journal:  Neuron       Date:  1996-01       Impact factor: 17.173

5.  Agitoxin footprinting the shaker potassium channel pore.

Authors:  A Gross; R MacKinnon
Journal:  Neuron       Date:  1996-02       Impact factor: 17.173

6.  Molecular mechanism of the sea anemone toxin ShK recognizing the Kv1.3 channel explored by docking and molecular dynamic simulations.

Authors:  Ling Jin; Yingliang Wu
Journal:  J Chem Inf Model       Date:  2007-08-25       Impact factor: 4.956

7.  Segmental exchanges define 4-aminopyridine binding and the inner mouth of K+ pores.

Authors:  G E Kirsch; C C Shieh; J A Drewe; D F Vener; A M Brown
Journal:  Neuron       Date:  1993-09       Impact factor: 17.173

8.  Recombinant Kv channels at the membrane of Escherichia coli bind specifically agitoxin2.

Authors:  Oksana V Nekrasova; Anastasia A Ignatova; Anna I Nazarova; Alexey V Feofanov; Yuliya V Korolkova; Elena F Boldyreva; Anna I Tagvei; Eugene V Grishin; Alexander S Arseniev; Mikhail P Kirpichnikov
Journal:  J Neuroimmune Pharmacol       Date:  2008-07-23       Impact factor: 4.147

9.  Studying of Membrane Localization of Recombinant Potassium Channels in E.coli.

Authors:  O Nekrasova; A Tagway; A Ignatova; A Feofanov; M Kirpichnikov
Journal:  Acta Naturae       Date:  2009-04       Impact factor: 1.845

10.  Developing a comparative docking protocol for the prediction of peptide selectivity profiles: investigation of potassium channel toxins.

Authors:  Po-Chia Chen; Serdar Kuyucak
Journal:  Toxins (Basel)       Date:  2012-02-06       Impact factor: 4.546

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  3 in total

1.  N-Terminal Tagging with GFP Enhances Selectivity of Agitoxin 2 to Kv1.3-Channel Binding Site.

Authors:  Oksana V Nekrasova; Alexandra L Primak; Anastasia A Ignatova; Valery N Novoseletsky; Olga V Geras'kina; Ksenia S Kudryashova; Sergey A Yakimov; Mikhail P Kirpichnikov; Alexander S Arseniev; Alexey V Feofanov
Journal:  Toxins (Basel)       Date:  2020-12-16       Impact factor: 4.546

2.  Atto488-Agitoxin 2-A Fluorescent Ligand with Increased Selectivity for Kv1.3 Channel Binding Site.

Authors:  Kristina R Denisova; Nikita A Orlov; Sergey A Yakimov; Mikhail P Kirpichnikov; Alexey V Feofanov; Oksana V Nekrasova
Journal:  Bioengineering (Basel)       Date:  2022-07-01

3.  Molecular Dynamics Simulation Reveals Specific Interaction Sites between Scorpion Toxins and Kv1.2 Channel: Implications for Design of Highly Selective Drugs.

Authors:  Shouli Yuan; Bin Gao; Shunyi Zhu
Journal:  Toxins (Basel)       Date:  2017-11-01       Impact factor: 4.546

  3 in total

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