Efficient potential of mean force calculation from multiscale simulations: Solute insertion in a lipid membrane

Biochem Biophys Res Commun. 2018 Mar 29;498(2):282-287. doi: 10.1016/j.bbrc.2017.08.095. Epub 2017 Sep 7.

Abstract

The determination of potentials of mean force for solute insertion in a lipid membrane by means of all-atom molecular dynamics simulations is often hampered by sampling issues. Recently, a multiscale method has been proposed to leverage the conformational ensemble of a lower-resolution model as starting point for higher resolution simulations. In this work, we analyze the efficiency of this method by comparing its predictions for propanol insertion into a lipid membrane against conventional atomistic umbrella sampling simulation results. The multiscale approach is confirmed to provide accurate results with a gain of one order of magnitude in computational time. We then investigate the role of the coarse-grained representation. We find that the accuracy of the results is tightly connected to the presence of a good configurational overlap between the coarse-grained and atomistic models-a general requirement when developing multiscale simulation methods.

Keywords: Drug-membrane systems; Enhanced sampling; Multiscale simulations; Potential of mean force.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • 1-Propanol / chemistry
  • Cell Membrane / chemistry
  • Computational Biology / methods
  • Dimyristoylphosphatidylcholine / chemistry
  • Membrane Lipids / chemistry*
  • Models, Molecular
  • Molecular Conformation
  • Molecular Dynamics Simulation
  • Phosphatidylcholines / chemistry

Substances

  • Membrane Lipids
  • Phosphatidylcholines
  • 1-Propanol
  • 1,2-oleoylphosphatidylcholine
  • Dimyristoylphosphatidylcholine