Literature DB >> 21609861

Examining ion channel properties using free-energy methods.

Carmen Domene1, Simone Furini.   

Abstract

Recent advances in structural biology have revealed the architecture of a number of transmembrane channels, allowing for these complex biological systems to be understood in atomistic detail. Computational simulations are a powerful tool by which the dynamic and energetic properties, and thereby the function of these protein architectures, can be investigated. The experimentally observable properties of a system are often determined more by energetic than dynamics, and therefore understanding the underlying free energy (FE) of biophysical processes is of crucial importance. Critical to the accurate evaluation of FE values are the problems of obtaining accurate sampling of complex biological energy landscapes, and of obtaining accurate representations of the potential energy of a system, this latter problem having been addressed through the development of molecular force fields. While these challenges are common to all FE methods, depending on the system under study, and the questions being asked of it, one technique for FE calculation may be preferable to another, the choice of method and simulation protocol being crucial to achieve efficiency. Applied in a correct manner, FE calculations represent a predictive and affordable computational tool with which to make relevant contact with experiments. This chapter, therefore, aims to give an overview of the most widely implemented computational methods used to calculate the FE associated with particular biochemical or biophysical events, and to highlight their recent applications to ion channels.
Copyright © 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 21609861     DOI: 10.1016/S0076-6879(09)66007-9

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  6 in total

1.  Gating at the selectivity filter of ion channels that conduct Na+ and K+ ions.

Authors:  Simone Furini; Carmen Domene
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

2.  Nonselective conduction in a mutated NaK channel with three cation-binding sites.

Authors:  Simone Furini; Carmen Domene
Journal:  Biophys J       Date:  2012-11-20       Impact factor: 4.033

3.  Effects of the protonation state of the EEEE motif of a bacterial Na(+)-channel on conduction and pore structure.

Authors:  Simone Furini; Paolo Barbini; Carmen Domene
Journal:  Biophys J       Date:  2014-05-20       Impact factor: 4.033

4.  Energetics of Ion Permeation in an Open-Activated TRPV1 Channel.

Authors:  Christian Jorgensen; Simone Furini; Carmen Domene
Journal:  Biophys J       Date:  2016-09-20       Impact factor: 4.033

Review 5.  The Use of Multiscale Molecular Simulations in Understanding a Relationship between the Structure and Function of Biological Systems of the Brain: The Application to Monoamine Oxidase Enzymes.

Authors:  Robert Vianello; Carmen Domene; Janez Mavri
Journal:  Front Neurosci       Date:  2016-07-15       Impact factor: 4.677

6.  Non-equilibrium dynamics contribute to ion selectivity in the KcsA channel.

Authors:  Van Ngo; Darko Stefanovski; Stephan Haas; Robert A Farley
Journal:  PLoS One       Date:  2014-01-17       Impact factor: 3.240

  6 in total

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