Molecular simulations to investigate the impact of N6-methylation in RNA recognition: Improving accuracy and precision of binding free energy prediction
Valerio Piomponi, Miroslav Krepl, Jiri Sponer, Giovanni Bussi

TL;DR
This paper uses advanced molecular simulation techniques to improve the accuracy of predicting how N6-methylation affects RNA-protein binding free energies, emphasizing force-field refinement and hydration dynamics.
Contribution
It introduces an integrated simulation approach combining metadynamics, alchemical methods, and force-field tuning to enhance prediction accuracy of RNA methylation effects.
Findings
Hydration of the binding pocket has minor impact on free energy.
Refined force-field parameters improve agreement with experimental data.
Partial charges critically influence binding free energy calculations.
Abstract
N6-methyladenosine (m6A) is a prevalent RNA post-transcriptional modification that plays crucial roles in RNA stability, structural dynamics, and interactions with proteins. The YT521-B (YTH) family of proteins, which are notable m6A readers, function through their highly conserved YTH domain. Recent structural investigations and molecular dynamics (MD) simulations have shed light on the recognition mechanism of m6A by the YTHDC1 protein. Despite advancements, using MD to predict the stabilization induced by m6A on the free energy of binding between RNA and YTH proteins remains challenging, due to inaccuracy of the employed force field and limited sampling. For instance, simulations often fail to sufficiently capture the hydration dynamics of the binding pocket. This study addresses these challenges through an innovative methodology that integrates metadynamics, alchemical simulations,…
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Taxonomy
TopicsRNA modifications and cancer
