Computer Folding of RNA Tetraloops: Identification of Key Force Field Deficiencies
Petra K\"uhrov\'a, Robert B. Best, Sandro Bottaro, Giovanni, Bussi, Ji\v{r}\'i \v{S}poner, Michal Otyepka, Pavel Ban\'a\v{s}

TL;DR
This study investigates the limitations of current molecular dynamics force fields in accurately folding RNA tetraloops, revealing specific imbalances that hinder correct folding simulation and proposing targeted reparametrizations to improve accuracy.
Contribution
The paper identifies key force field deficiencies affecting RNA tetraloop folding and suggests specific reparametrizations to address these issues.
Findings
Contemporary force fields fail to correctly fold the GAGA tetraloop.
Imbalances include overstabilization of base-phosphate interactions.
Underestimated hydrogen bonding destabilizes the folded state.
Abstract
The computer-aided folding of biomolecules, particularly RNAs, is one of the most difficult challenges in computational structural biology. RNA tetraloops are fundamental RNA motifs playing key roles in RNA folding and RNA-RNA and RNA-protein interactions. Although state-of-the-art Molecular Dynamics (MD) force fields correctly describe the native state of these tetraloops as a stable free-energy basin on the microsecond time scale, enhanced sampling techniques reveal that the native state is not the global free energy minimum, suggesting yet unidentified significant imbalances in the force fields. Here, we tested our ability to fold the RNA tetraloops in various force fields and simulation settings. We employed three different enhanced sampling techniques, namely, temperature replica exchange MD (T-REMD), replica exchange with solute tempering (REST2), and well-tempered metadynamics…
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