Cholesterol-Dependent Structure and Dynamics of Curved Lipid Vesicles Revealed by Dry MARTINI Simulations
Khodadadi, E.; Khodadadi, E.; Moradi, M.
Show abstract
Cholesterol is a key regulator of membrane structure and dynamics, yet its effects on large curved vesicles under implicit-solvent coarse-grained conditions remain incompletely understood. Equilibrating large Dry MARTINI vesicles is challenging because transient membrane deformations can arise during the early stages of equilibration. Here, we developed a leaflet-specific restrained-equilibration protocol that preserves vesicle geometry while allowing local lipid relaxation. All restraints were removed before production simulations, and all reported results were obtained from unbiased trajectories. Using this protocol together with the Dry MARTINI force field and the TS2CG membrane builder, we simulated [~]50 nm DOPC vesicles containing 0-40 mol% cholesterol in three independent 20 {micro}s production simulations for each membrane composition. Increasing cholesterol concentration produced a consistent structural reorganization of the membrane, characterized by increased membrane thickness and lipid-tail ordering, and decreased species-specific Voronoi area per lipid, lipid-tail interdigitation, solvent-accessible surface area, and vesicle shape anisotropy. Cholesterol flip-flop increased progressively with cholesterol concentration, whereas DOPC flip-flop exhibited a reproducible non-monotonic dependence with a maximum near 20 mol% cholesterol. Comparison with our previous explicit-solvent MARTINI simulations showed that the major cholesterol-dependent structural trends were preserved across both solvent representations, whereas species-specific lipid packing, lipid-tail interdigitation, and the absolute magnitude of lipid flip-flop remained sensitive to the solvent representation. Overall, Dry MAR-TINI combined with the restrained-equilibration protocol provides an efficient framework for studying large curved cholesterol-containing vesicles.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Quantifying acyl chain interdigitation in simulated bilayers via direct transbilayer interactions 96%
- Role of Divalent Ions in Membrane Models of Polymyxin-Sensitive and Resistant Gram-Negative Bacteria 95%
- Using open data to rapidly benchmark biomolecular simulations: Phospholipid conformational dynamics 95%
Similar papers in this journal
Similar papers in this journal
- Full scale structural, mechanical and dynamical properties of HIV-1 liposomes. 95%
- Cholesterol binding to the sterol-sensing region of Niemann Pick C1 protein confines dynamics of its N-terminal domain 94%
- Conformational plasticity and dynamic interactions of the N-terminal domain of the chemokine receptor CXCR1 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.