All-Atom Simulations Elucidate the Molecular Mechanism Underlying RNA-Membrane Interactions
Salvatore Di Marco1, Jana Aupič2, Giovanni Bussi1
1International School for Advanced Studies (SISSA), Via Bonomea 265, 34136, Trieste, Italy.
Nano Letters
|March 7, 2025
Summary
Guanine shows the strongest binding to cell membranes due to hydrogen bonds. Organized RNA structures hinder this membrane binding, impacting drug delivery and cell signaling research.
Area of Science:
- Biophysics
- Molecular Biology
- Biochemistry
Background:
- RNA molecules are increasingly recognized for their roles in cellular organization and intercellular signaling.
- Extracellular RNA localization and its influence on lipid-based delivery systems are areas of active research.
- The molecular mechanisms governing RNA-membrane interactions are not well understood.
Purpose of the Study:
- To investigate the molecular determinants of RNA binding to phospholipid membranes.
- To elucidate the role of RNA structure and specific nucleobases in membrane association.
- To provide insights for improving RNA-based therapeutics and delivery systems.
Main Methods:
- All-atom molecular dynamics simulations were employed to study RNA-phospholipid membrane interactions.
- Free energy calculations were performed to quantify binding affinities.
- The influence of intra-RNA base pairing on membrane association was assessed.
Main Results:
- Guanine demonstrated the most favorable binding free energy among RNA nucleobases, attributed to extensive hydrogen bonding.
- Intra-RNA base pairing within structured RNA significantly reduced RNA-membrane binding affinity.
- Specific RNA-membrane interaction mechanisms were identified at the molecular level.
Conclusions:
- Understanding RNA-membrane interactions is crucial for advancing RNA-based drug design and delivery technologies.
- Guanine's strong membrane affinity and the inhibitory effect of RNA structure offer key insights.
- This research contributes to deciphering RNA transport and localization mechanisms within biological systems.
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