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RNA at Lipid/Water Interfaces: Molecular Insights from Coarse-Grained Simulations and Reflectivity Data Predictions.

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Modeling RNA-lipid interactions at interfaces is key for RNA delivery. Simulations show single-stranded RNA binds lipids better than double-stranded RNA, aiding experimental design.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Materials Science

Background:

  • RNA-lipid interactions are crucial for biological functions and RNA delivery systems.
  • Molecular-level characterization of RNA at lipid interfaces is challenging.

Purpose of the Study:

  • To develop and validate computational models for RNA at lipid/water interfaces.
  • To predict and interpret neutron (NR) and X-ray reflectivity (XRR) profiles.
  • To understand the influence of RNA secondary structure on interfacial adsorption.

Main Methods:

  • Coarse-grained (CG) simulations of RNA at neutral (DOPC) and cationic (DOTAP) lipid bilayers.
  • Experimental validation using X-ray scattering data.
  • Back-mapping to atomistic resolution and molecular dynamics simulations.
  • Prediction of NR and XRR profiles for various RNA conformations and experimental conditions.

Main Results:

  • Lipid-RNA interactions are dependent on RNA secondary structure; single-stranded regions show higher interfacial affinity.
  • CG simulations qualitatively reproduced X-ray scattering data, with improved agreement after atomistic refinement.
  • NR and XRR signals are sensitive to RNA adsorption, secondary structure, concentration, and experimental parameters like solvent contrast and lipid deuteration.

Conclusions:

  • CG simulations coupled with reflectivity data offer a powerful method to study RNA adsorption and structure at lipid-water interfaces.
  • This approach aids in designing and interpreting scattering experiments for RNA-lipid systems.
  • Understanding these interactions is vital for advancing RNA delivery technologies.