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Sphingomyelin-cholesterol domains in phospholipid membranes: atomistic simulation
Sagar A Pandit1, S Vasudevan, S W Chiu
1Department of Biological, Chemical, and Physical Sciences, Illinois Institute of Technology, Chicago, Illinois 60616, USA.
Biophysical Journal
|August 10, 2004
Summary
Molecular dynamics simulations reveal how sphingomyelin and cholesterol domains impact dioleylposphatidylcholine (DOPC) bilayer packing. These ordered domains alter surrounding lipid properties up to 8 nm away, consistent with experimental findings.
Area of Science:
- Biophysics
- Computational Biology
- Materials Science
Background:
- Cell membranes are complex lipid bilayers with distinct domains.
- Sphingomyelin and cholesterol form liquid-ordered domains that influence membrane properties.
- Understanding these domain interactions is crucial for cell membrane function.
Purpose of the Study:
- To investigate the atomic-level interactions between sphingomyelin-cholesterol domains and dioleylposphatidylcholine (DOPC) bilayers.
- To quantify the impact of these domains on lipid packing and bilayer thickness.
- To develop and validate a computational method for analyzing ternary lipid mixtures.
Main Methods:
- Atomic-level molecular dynamics simulations of a nanoscopic lipid system.
- Calculation of order parameters and area per molecule.
- Development of a Voronoi tessellation algorithm for area per molecule analysis.
- Computation of electron density profiles and bilayer thickness differences.
Main Results:
- Calculated areas per sphingomyelin and cholesterol match previous simulations.
- Liquid-ordered domains influence DOPC bilayer packing up to ~8 nm.
- Significant differences in bilayer thickness between the domain and surrounding regions were observed.
Conclusions:
- Sphingomyelin-cholesterol domains exert long-range effects on lipid packing in DOPC bilayers.
- The computational methods provide accurate insights into lipid domain behavior.
- Simulation results are consistent with experimental atomic force microscopy data, validating the model.