Coarse-Grained Modeling and Simulation of Multistranded RNA Nanostars
Pradnya R Kadam1, Justine Lim1, Mahdi Dizani1
1†Department of Molecular, Cell, and Developmental Biology, ‡Department of Computational and Systems Biology, §Department of Mechanical and Aerospace Engineering, ∥Department of Bioengineering, ⊥Molecular Biology Institute, University of California, Los Angeles, Los Angeles, California 90095, United States.
Synthetic RNA nanostars, inspired by biomolecular condensates, show tunable geometry and flexibility. Arm number, salt, and temperature influence their structure, aiding in designing novel RNA-based materials.
Area of Science:
- Biophysics
- Synthetic biology
- Materials science
Background:
- Biomolecular condensates regulate cellular processes via phase separation.
- Synthetic RNA nanostars offer a modular platform for engineering these condensates.
Purpose of the Study:
- Quantify the conformational dynamics of 3-, 4-, and 5-arm RNA nanostars.
- Investigate the effects of valency, salt concentration, and temperature on nanostar geometry and flexibility.
Main Methods:
- Coarse-grained modeling
- Molecular dynamics (MD) simulations using the oxRNA2 platform
Main Results:
- Increasing arm number reduced mean interarm angle but maintained flexibility.
- Salt and temperature influenced geometry and flexibility differently across nanostar valencies.
- RNA nanostars showed distinct geometric preferences compared to DNA nanostars.
Conclusions:
- Valency, salt, and temperature are key factors in controlling synthetic RNA nanostar properties.
- These findings inform the rational design of RNA nanostars for predictable material responses in engineered condensates.
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