Self-Assembly of Phosphocholine Derivatives Using the ELBA Coarse-Grained Model: Micelles, Bicelles, and Reverse
R M de Souza1,2,3, R H Ratochinski2, Mikko Karttunen1,3,4
1Department of Chemistry , The University of Western Ontario , London , Ontario , Canada N6A 3K7.
Journal of Chemical Information and Modeling
|November 13, 2019
Summary
The ELBA coarse-grained force field was enhanced for lipid self-assembly simulations. New parameters improved accuracy for dodecyl-phosphocholine (DPC) micelles, DPPC/DHPC bicelles, and reverse micelles, correctly predicting rodlike shapes.
Area of Science:
- Computational Chemistry
- Materials Science
- Biophysics
Background:
- The ELBA force field, initially for lipids, uses a simplified water model and multi-site mapping for other molecules.
- Investigating self-assembly of complex lipid structures requires accurate and efficient simulation methods.
Purpose of the Study:
- To adapt and validate the ELBA coarse-grained force field for simulating various lipid self-assembly systems.
- To develop new force field parameters for cyclohexane and dodecane interactions to improve simulation accuracy.
Main Methods:
- Coarse-grained molecular dynamics (MD) simulations using the ELBA force field.
- Parameterization of Lennard-Jones interactions for cyclohexane, dodecane, and their cross-interactions via simplex algorithm.
- Analysis of simulated structures for shape, size, volume, surface area, and aggregation number.
Main Results:
- New ELBA parameters showed good agreement with experimental data for density, self-diffusion, surface tension, and excess volume.
- Simulations accurately reproduced the size, volume, and surface area of DPC micelles, DPPC/DHPC bicelles, and DPPC reverse micelles.
- ELBA correctly predicted the rodlike shape of DPPC reverse micelles, contrasting with literature all-atom predictions.
Conclusions:
- The enhanced ELBA force field is suitable for simulating lipid self-assembly processes, including complex micelle and bicelle structures.
- The new parameters improve the force field's ability to predict structural properties, particularly the shape of reverse micelles.
- ELBA offers a computationally efficient alternative for studying lipid self-assembly with improved structural accuracy.
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