Literature DB >> 34214541

Determinants of conductance of a bacterial voltage-gated sodium channel.

Ada Y Chen1, Bernard R Brooks2, Ana Damjanovic3.   

Abstract

Through molecular dynamics (MD) and free energy simulations in electric fields, we examine the factors influencing conductance of bacterial voltage-gated sodium channel NavMs. The channel utilizes four glutamic acid residues in the selectivity filter (SF). Previously, we have shown, through constant pH and free energy calculations of pKa values, that fully deprotonated, singly protonated, and doubly protonated states are all feasible at physiological pH, depending on how many ions are bound in the SF. With 173 MD simulations of 450 or 500 ns and additional free energy simulations, we determine that the conductance is highest for the deprotonated state and decreases with each additional proton bound. We also determine that the pKa value of the four glutamic residues for the transition between deprotonated and singly protonated states is close to the physiological pH and that there is a small voltage dependence. The pKa value and conductance trends are in agreement with experimental work on bacterial Nav channels, which show a decrease in maximal conductance with lowering of pH, with pKa in the physiological range. We examine binding sites for Na+ in the SF, compare with previous work, and note a dependence on starting structures. We find that narrowing of the gate backbone to values lower than the crystal structure's backbone radius reduces the conductance, whereas increasing the gate radius further does not affect the conductance. Simulations with some amount of negatively charged lipids as opposed to purely neutral lipids increases the conductance, as do simulations at higher voltages.
Copyright © 2021. Published by Elsevier Inc.

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Year:  2021        PMID: 34214541      PMCID: PMC8392114          DOI: 10.1016/j.bpj.2021.06.013

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   3.699


  94 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-15       Impact factor: 11.205

2.  pH replica-exchange method based on discrete protonation states.

Authors:  Satoru G Itoh; Ana Damjanović; Bernard R Brooks
Journal:  Proteins       Date:  2011-10-15

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Authors:  Massimo Mantegazza; Giulia Curia; Giuseppe Biagini; David S Ragsdale; Massimo Avoli
Journal:  Lancet Neurol       Date:  2010-04       Impact factor: 44.182

4.  Isoform-dependent interaction of voltage-gated sodium channels with protons.

Authors:  A Khan; J W Kyle; D A Hanck; G M Lipkind; H A Fozzard
Journal:  J Physiol       Date:  2006-07-27       Impact factor: 5.182

5.  Anionic phospholipid interactions with the potassium channel KcsA: simulation studies.

Authors:  Sundeep S Deol; Carmen Domene; Peter J Bond; Mark S P Sansom
Journal:  Biophys J       Date:  2005-11-04       Impact factor: 4.033

6.  Constant pH replica exchange molecular dynamics in biomolecules using a discrete protonation model.

Authors:  Yilin Meng; Adrian E Roitberg
Journal:  J Chem Theory Comput       Date:  2010-04-13       Impact factor: 6.006

7.  A gating model for the archeal voltage-dependent K(+) channel KvAP in DPhPC and POPE:POPG decane lipid bilayers.

Authors:  Daniel Schmidt; Samuel R Cross; Roderick MacKinnon
Journal:  J Mol Biol       Date:  2009-05-27       Impact factor: 5.469

8.  The effect of hypercholesterolemia on the sodium inward currents in cardiac myocyte.

Authors:  C C Wu; M J Su; J F Chi; W J Chen; H C Hsu; Y T Lee
Journal:  J Mol Cell Cardiol       Date:  1995-06       Impact factor: 5.000

9.  Constant pH Molecular Dynamics in Explicit Solvent with Enveloping Distribution Sampling and Hamiltonian Exchange.

Authors:  Juyong Lee; Benjamin T Miller; Ana Damjanović; Bernard R Brooks
Journal:  J Chem Theory Comput       Date:  2014-06-03       Impact factor: 6.006

10.  Differential lipid dependence of the function of bacterial sodium channels.

Authors:  Nazzareno D'Avanzo; Emily C McCusker; Andrew M Powl; Andrew J Miles; Colin G Nichols; B A Wallace
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

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  1 in total

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Authors:  Zhengdan Zhu; Zhenfeng Deng; Qinrui Wang; Yuhang Wang; Duo Zhang; Ruihan Xu; Lvjun Guo; Han Wen
Journal:  Front Pharmacol       Date:  2022-06-28       Impact factor: 5.988

  1 in total

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