ArticleThe Journal of chemical physics2010
Lateral organization of complex lipid mixtures from multiscale modeling.
Article in The Journal of chemical physics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Highly synergistic antimicrobial activity of magainin 2 and PGLa peptides is rooted in the formation of supramolecular complexes with lipids.Scientific reports · 2020Article
- Visualization of ligand-induced transmembrane signaling in the full-length human insulin receptor.The Journal of cell biology · 2018Article
- Critical size dependence of domain formation observed in coarse-grained simulations of bilayers composed of ternary lipid mixtures.The Journal of chemical physics · 2017Article
- Regulation of human EGF receptor by lipids.Proceedings of the National Academy of Sciences of the United States of America · 2011Article
- Self-consistent mean-field model for palmitoyloleoylphosphatidylcholine-palmitoyl sphingomyelin-cholesterol lipid bilayers.Physical review. E, Statistical, nonlinear, and soft matter physics · 2011Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The organizational properties of complex lipid mixtures can give rise to functionally important structures in cell membranes. In model membranes, ternary lipid-cholesterol (CHOL) mixtures are often used as representative systems to investigate the formation and stabilization of localized structural domains ("rafts"). In this work, we describe a self-consistent mean-field model that builds on molecular dynamics simulations to incorporate multiple lipid components and to investigate the lateral organization of such mixtures. The model predictions reveal regions of bimodal order on ternary plots that are in good agreement with experiment. Specifically, we have applied the model to ternary mixtures composed of dioleoylphosphatidylcholine:18:0 sphingomyelin:CHOL. This work provides insight into the specific intermolecular interactions that drive the formation of localized domains in these mixtures. The model makes use of molecular dynamics simulations to extract interaction parameters and to provide chain configuration order parameter libraries.
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Registered trials
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