Computational analysis of local membrane properties.

J Comput Aided Mol Des

Computational Biomolecular Dynamics Group, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077, Göttingen, Germany,

Published: October 2013

AI Article Synopsis

  • The dynamics of phospholipid membranes are crucial in biomolecular simulations due to their interactions with various embedded proteins, like channels and receptors.
  • The study introduces methods for efficiently calculating local membrane properties, such as bilayer thickness and area per lipid, allowing for detailed mapping beyond average properties.
  • These methods are demonstrated in various membrane systems, leading to a clearer understanding of local membrane features and their roles in biological processes.

Article Abstract

In the field of biomolecular simulations, dynamics of phospholipid membranes is of special interest. A number of proteins, including channels, transporters, receptors and short peptides are embedded in lipid bilayers and tightly interact with phospholipids. While the experimental measurements report on the spatial and/or temporal average membrane properties, simulation results are not restricted to the average properties. In the current study, we present a collection of methods for an efficient local membrane property calculation, comprising bilayer thickness, area per lipid, deuterium order parameters, Gaussian and mean curvature. The local membrane property calculation allows for a direct mapping of the membrane features, which subsequently can be used for further analysis and visualization of the processes of interest. The main features of the described methods are highlighted in a number of membrane systems, namely: a pure dimyristoyl-phosphatidyl-choline (DMPC) bilayer, a fusion peptide interacting with a membrane, voltage-dependent anion channel protein embedded in a DMPC bilayer, cholesterol enriched bilayer and a coarse grained simulation of a curved palmitoyl-oleoyl-phosphatidyl-choline lipid membrane. The local membrane property analysis proves to provide an intuitive and detailed view on the observables that are otherwise interpreted as averaged bilayer properties.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882000PMC
http://dx.doi.org/10.1007/s10822-013-9684-0DOI Listing

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