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Reweighting of molecular simulations with explicit-solvent SAXS restraints elucidates ion-dependent RNA ensembles

Bernetti, Mattia
•
Hall, Kathleen B
•
Bussi, Giovanni
2021
  • journal article

Periodico
NUCLEIC ACIDS RESEARCH
Abstract
Small-angle X-ray scattering (SAXS) experiments are increasingly used to probe RNA structure. A number of forward models that relate measured SAXS intensities and structural features, and that are suitable to model either explicit-solvent effects or solute dynamics, have been proposed in the past years. Here, we introduce an approach that integrates atomistic molecular dynamics simulations and SAXS experiments to reconstruct RNA structural ensembles while simultaneously accounting for both RNA conformational dynamics and explicit-solvent effects. Our protocol exploits SAXS pure-solute forward models and enhanced sampling methods to sample an heterogenous ensemble of structures, with no information towards the experiments provided on-the-fly. The generated structural ensemble is then reweighted through the maximum entropy principle so as to match reference SAXS experimental data at multiple ionic conditions. Importantly, accurate explicit-solvent forward models are used at this reweighting stage. We apply this framework to the GTPase-associated center, a relevant RNA molecule involved in protein translation, in order to elucidate its ion-dependent conformational ensembles. We show that (a) both solvent and dynamics are crucial to reproduce experimental SAXS data and (b) the resulting dynamical ensembles contain an ion-dependent fraction of extended structures.
DOI
10.1093/nar/gkab459
WOS
WOS:000692599800006
Archivio
https://hdl.handle.net/20.500.11767/123473
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85113245189
https://arxiv.org/abs/2103.04964
Diritti
open access
Soggetti
  • Settore FIS/03 - Fisi...

  • Settore PHYS-04/A - F...

Scopus© citazioni
4
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
14
Data di acquisizione
Mar 25, 2024
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
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