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Self-consistent mean-field model based on molecular dynamics: application to lipid-cholesterol bilayers.

George A Khelashvili1, Sagar A Pandit, H L Scott

  • 1Department of Biological, Chemical and Physical Sciences, Illinois Institute of Technology, Chicago, 60616, USA.

The Journal of Chemical Physics
|August 6, 2005
PubMed
Summary

This study models lipid-cholesterol bilayers, finding cholesterol induces order that becomes system-wide at 11%. No phase separation or superlattices form, indicating continuous lipid chain ordering with increasing cholesterol.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Materials Science

Background:

  • Lipid-cholesterol bilayers are crucial for cell membrane function and fluidity.
  • Understanding cholesterol's role in lipid organization is key to membrane biophysics.

Purpose of the Study:

  • To develop and apply a dynamic self-consistent mean-field model for simulating lipid-cholesterol bilayers.
  • To investigate the effect of cholesterol concentration on lipid chain order and phase behavior.

Main Methods:

  • Developed a dynamic self-consistent mean-field model integrating molecular dynamics.
  • Represented lipid bilayers as 2D lattice fields and cholesterol as hard rods.
  • Used stochastic equations for system evolution, with parameters from atomistic simulations.

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Main Results:

  • At low cholesterol (2-4%), isolated cholesterol clusters form within disordered lipid chains.
  • Increasing cholesterol (from 11%) leads to system-wide lipid ordering.
  • Simulations showed continuous lipid chain ordering, without large-scale phase separation or superlattice formation.

Conclusions:

  • Cholesterol incorporation leads to continuous lipid chain ordering rather than distinct phase separation.
  • No evidence of large-scale cholesterol-rich/depleted regions or superlattices was observed at 50°C.
  • The model provides insights into cholesterol's influence on membrane structure at microsecond timescales.