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Ion Channels – From Structure to Electrophysiology and BackA reliable way to establish whether our understanding of a channel is satisfactory is to reproduce its measured ionic conductance over a broad range of applied voltages in computer simulations. In molecular dynamics (MD), this can be done by way of applying an external electric field to the system and counting the number of ions that traverse the channel per unit time. Since this approach is computationally very expensive, we have developed a markedly more efficient alternative in which MD is combined with the electrodiffusion (ED) equation. In this approach, the assumptions of the ED equation can be rigorously tested, and the precision and consistency of the calculated conductance can be determined. We have demonstrated that the full current/voltage dependence and the underlying free energy profile for a simple channel can be reliably calculated from equilibrium or non-equilibrium MD simulations at a single voltage. Free energy profiles can be obtained from non-equilibrium simulations without a loss of accuracy even without the knowledge of diffusion coefficient. To carry out MD simulations, a structural model of a channel has to be assumed, which is an important constraint, considering that high-resolution structures are available for only very few simple channels. If the comparison of calculated ionic conductance with electrophysiological data is satisfactory, it greatly increases our confidence that the structure and the function are described sufficiently accurately. We examined the validity of the ED for several channels embedded in phospholipid membranes - four naturally occurring channels: trichotoxin, alamethicin, p7 from hepatitis C virus (HCV) and Vpu from the HIV-1 virus, a synthetic, hexameric channel, formed by a 21-residue peptide that contains only leucine and serine and a bacterial pentameric ligand-gated ion channel, GLIC. All these channels mediate transport of potassium and chloride ions. It was found that the ED equation is satisfactory for these systems. In some of them, experimental and calculated electrophysiological properties are in good agreement, whereas in others there are strong indications that the structural models are incorrect.
Document ID
20200002066
Acquisition Source
Ames Research Center
Document Type
Abstract
Authors
Pohorille, Andrew
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
March 31, 2020
Publication Date
March 29, 2020
Subject Category
Exobiology
Report/Patent Number
ARC-E-DAA-TN78410
Report Number: ARC-E-DAA-TN78410
Meeting Information
Meeting: Ions, Membrane and channels: Multiscale Simulations From Quantum to Coarse-Grain
Location: Paris
Country: France
Start Date: October 26, 2020
End Date: October 28, 2020
Sponsors: Ecole Nationale Superieure de Chimie
Funding Number(s)
WBS: 811073.02.52.01.02
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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