ArticleBiomolecules2023
Alteration of Average Thickness of Lipid Bilayer by Membrane-Deforming Inclusions.
Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Probing the influence of PsbS on thylakoid lipid fluidity.Photosynthesis research · 2026Article
- Membrane Molecular Species Remodeling as a Signature of ω-3 Fatty Acid Action in Cultured Neural Cells.ASN neuro · 2026Article
- Fluorescent probes for the visualization of membrane microdomain, deformation, and fusion.Smart molecules : open access · 2025Review
- Membrane Activity of Melittin and Magainin-I at Low Peptide-to-Lipid Ratio: Different Types of Pores and Translocation Mechanisms.Biomolecules · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Thickness of lipid bilayer membranes is a key physical parameter determining membrane permeability and stability with respect to formation of through pores. Most membrane inclusions or impurities like amphipathic peptides, transmembrane peptides, lipid inclusions of a different molecular shape, lipid domains, and protein-lipid domains, locally deform the membrane. The detailed structure of the locally deformed region of the membrane is a kind of "fingerprint" for the inclusion type. However, most experimental methods allow determining only averaged parameters of membranes with incorporated inclusions, thus preventing the direct obtaining of the characteristics of the inclusion. Here we developed a model that allows the obtaining of characteristic parameters of three types of membrane inclusions (amphipathic peptides, transmembrane peptides, monolayer lipid patches) from experimentally observable dependencies of the average thickness of lipid bilayer on the surface concentration of the inclusions. In the case of amphipathic peptides, the model provided the peptide parameters that were in qualitative agreement with the available experimental data.
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