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Updated: May 16, 2026

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Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions
Published on: November 21, 2017
Toward Accurate RNA Folding Thermodynamics: Evaluation of Enhanced Sampling Methods for Force Field Benchmarking
Petra Kührová1,2, Vojtěch Mlýnský1, Ivo Frébort2
1Institute of Biophysics of the Czech Academy of Sciences, Královopolská 135, 612 00 Brno, Czech Republic.
Journal of Chemical Theory and Computation
|May 14, 2026
Summary
Advanced enhanced sampling techniques, including temperature replica exchange (T-REMD), were evaluated for RNA force field (FF) accuracy. T-REMD simulations achieved robust folding free energy estimates for RNA, providing guidelines for FF refinement.
Area of Science:
- Computational chemistry and biophysics
- Structural biology
- Molecular dynamics simulations
Background:
- Biologically active RNAs exhibit dynamic structural behavior crucial for function, often near marginal stability.
- Atomistic molecular dynamics (MD) simulations offer insights into RNA dynamics but are limited by accessible timescales and force field (FF) accuracy.
- Accurate estimation of RNA folding free energies (ΔG°fold) is essential for benchmarking and refining RNA FFs.
Purpose of the Study:
- To systematically assess the performance of advanced enhanced sampling techniques for quantitative RNA free energy calculations.
- To identify robust simulation protocols for benchmarking RNA force fields.
- To establish guidelines for selecting appropriate sampling methods for RNA simulations.
Main Methods:
- Evaluation of temperature replica exchange (T-REMD), solute-tempering replica exchange (REST2, REHT), well-tempered metadynamics, and on-the-fly probability enhanced sampling with solute tempering (ST-MetaD, ST-OPES).
- Utilized the 8-mer r(gcGAGAgc) tetraloop as a benchmark system for assessing RNA folding free energies.
- Performed extensive molecular dynamics simulations, reaching approximately 20 μs for T-REMD.
Main Results:
- Temperature replica exchange (T-REMD) demonstrated the highest robustness among the tested enhanced sampling techniques.
- T-REMD yielded reproducible RNA folding equilibria and consistent ΔG°fold estimates.
- Simulation time of ~20 μs was sufficient for converged T-REMD results, independent of initial conformational states.
Conclusions:
- T-REMD is a reliable method for obtaining quantitative RNA folding free energies, suitable for force field benchmarking.
- The study provides practical guidance for selecting enhanced sampling protocols for RNA simulations.
- Findings lay the groundwork for systematic validation and improvement of RNA force fields.

