Issue 51, 2017

A statistical analytical model for hydrophilic electropore characterization: a comparison study

Abstract

Molecular dynamics (MD) simulations have proved to be a useful tool for unveiling many aspects of pore formation in lipid membranes under the influence of external electric fields. In order to compare the size-related properties of pores in bilayers of various compositions, generated and maintained under different physical and chemical conditions, reference metrics are needed for characterizing pore geometry and its evolution over time. In the present paper three different methodologies for evaluating electropore geometrical behavior will be compared: (i) the first allows analysis of the dimensions of the pore through an algorithm that uses a Monte Carlo simulated annealing procedure to find the best route for a sphere with variable radius to squeeze through the pore channel; (ii) a more recent procedure extracts pore volume from an integration of a three-dimensional model of the irregular shape of the pore; (iii) a new method based on a statistical approach (following essential dynamics principles) describes pore geometrical fluctuations in a robust and reproducible way. For the same pore height of 2 nm the three methods give rise to mean electropore radii up to 3-fold different. The three approaches described here are not system-specific, i.e. the methods can be generalized for any kind of pore for which appropriate structural information is available.

Graphical abstract: A statistical analytical model for hydrophilic electropore characterization: a comparison study

Supplementary files

Article information

Article type
Paper
Submitted
03 Apr 2017
Accepted
15 Jun 2017
First published
22 Jun 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 31997-32007

A statistical analytical model for hydrophilic electropore characterization: a comparison study

P. Marracino, M. Liberti, P. T. Vernier and F. Apollonio, RSC Adv., 2017, 7, 31997 DOI: 10.1039/C7RA03812G

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements