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Simulation of lipid bilayer self-assembly using all-atom lipid force fields.

Åge A Skjevik1, Benjamin D Madej, Callum J Dickson

  • 1San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive MC0505, La Jolla, California 92093-0505, USA. ross@rosswalker.co.uk.

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This study demonstrates phospholipid bilayer self-assembly in molecular dynamics simulations. All-atom simulations show stable bilayers forming rapidly, agreeing with experimental data for various lipid types, including charged ones.

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Area of Science:

  • Biophysics
  • Computational Chemistry
  • Materials Science

Background:

  • Phospholipids are fundamental building blocks of cell membranes.
  • Understanding their self-assembly into bilayers is crucial for membrane biophysics.
  • Previous simulations often focused on specific lipid types or lacked unbiased approaches.

Purpose of the Study:

  • To investigate the unbiased bilayer self-assembly of eight different phospholipid types.
  • To compare the self-assembly process across various all-atom lipid force fields.
  • To validate simulation results against experimental data.

Main Methods:

  • Utilizing unbiased molecular dynamics (MD) simulations.
  • Employing three widely-used all-atom lipid force fields.
  • Simulating the self-assembly of phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylserine (PS), and phosphatidylglycerol (PG) lipids.

Main Results:

  • Spontaneous formation of stable lamellar phospholipid bilayers within 1 microsecond across all tested force fields.
  • Observed self-assembly via a consistent general mechanism, with varying formation rates.
  • Demonstrated bilayer self-assembly for anionic phospholipids (PS, PG) for the first time in all-atom MD.
  • Simulation properties largely agreed with experimental data.

Conclusions:

  • All-atom MD simulations are effective for studying phospholipid bilayer self-assembly.
  • The choice of force field influences lipid self-assembly rates but not the fundamental mechanism.
  • This work provides a robust computational framework for investigating diverse phospholipid bilayers, including those with charged head groups.