RNA Dynamics from Experimental and Computational Approaches

TL;DR

This paper reviews recent advances in understanding RNA dynamics through combined experimental and computational methods, emphasizing their importance for biological function and therapeutic applications.

Contribution

It highlights the integration of experimental and computational approaches as a key development in studying RNA conformational ensembles.

Findings

Enhanced accuracy in RNA conformational predictions

Improved experimental resolution of RNA dynamics

Synergistic use of computational and experimental data

Abstract

Ribonucleic acids (RNA) are unique in that they can store genetic information, replicate and perform catalysis. Importantly, RNA molecules are highly dynamic, and thus determining the ensemble of conformations that they populate is crucial not only to elucidate their biological functions, but also for their potential use as therapeutic targets. Computational and experimental techniques provide complementary views on RNA dynamics, and their integration is fundamental to improve the accuracy of computations and the resolution of experiments. Recent exciting developments in this field, were discussed at the CECAM workshop ``RNA dynamics from experimental and computational approaches'', in Paris, June 26-28, 2023. This report outlines key `take-home' messages that emerged during this workshop from the presentations and discussions.