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Effects of lipid composition on membrane permeation
Michail Palaiokostas1, Wei Ding, Ganesh Shahane
1School of Engineering and Materials Science, Queen Mary University of London, London, UK.
Soft Matter
|October 23, 2018
Summary
Nonlamellar lipids in cell membranes alter drug permeation. They slow down smaller molecules but speed up larger ones, improving in silico drug design models.
Area of Science:
- Biophysics
- Computational Chemistry
- Pharmacology
Background:
- Biological membranes are crucial for cell function and are composed of lamellar and nonlamellar lipids.
- Nonlamellar lipids influence membrane properties like stress and elasticity, potentially affecting biological processes such as permeation.
- Understanding lipid composition effects on membrane permeation is vital for drug development.
Purpose of the Study:
- To investigate the impact of nonlamellar lipids on the permeation of small molecules and drugs across lipid bilayers.
- To determine how lipid composition affects membrane properties relevant to passive permeation.
- To advance the development of accurate in silico permeability assays for rational drug design.
Main Methods:
- Atomistic molecular dynamics simulations were employed to model membrane permeation.
- Transfer free energy profiles, diffusion profiles, and permeation coefficients were calculated.
- Thirteen small molecules and drugs were simulated across purely lamellar and mixed lamellar/nonlamellar lipid bilayers.
Main Results:
- The presence of nonlamellar lipids significantly altered permeation characteristics compared to purely lamellar membranes.
- Nonlamellar lipids reduced permeation for smaller molecules (molecular weight < 100).
- Conversely, nonlamellar lipids facilitated permeation for larger molecules (molecular weight > 100).
Conclusions:
- Nonlamellar lipids play a differential role in membrane permeation based on molecular size.
- These findings contribute to more realistic in silico models for predicting drug permeability.
- The study has significant implications for rational drug design and the development of predictive computational assays.
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