<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Posani E</submitter><funding>NIGMS NIH HHS</funding><pagination>4549</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12084557</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(1)</volume><pubmed_abstract>The advent of single-particle cryogenic electron microscopy (cryo-EM) has enabled near-atomic resolution imaging of large macromolecules, enhancing functional insights. However, current cryo-EM refinement tools condense all single-particle images into a single structure, which can misrepresent highly flexible molecules like RNAs. Here, we combine molecular dynamics simulations with cryo-EM density maps to better account for the structural dynamics of a complex and biologically relevant RNA macromolecule. Namely, using metainference, a Bayesian method, we reconstruct an ensemble of structures of the group II intron ribozyme, which better matches experimental data, and we reveal inaccuracies of single-structure approaches in modeling flexible regions. An analysis of all RNA-containing struct</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Ensemble refinement of mismodeled cryo-EM RNA structures using all-atom simulations.</pubmed_title><pmcid>PMC12084557</pmcid><funding_grant_id>R35 GM141706</funding_grant_id><pubmed_authors>Bussi G</pubmed_authors><pubmed_authors>Bonomi M</pubmed_authors><pubmed_authors>Posani E</pubmed_authors><pubmed_authors>Magistrato A</pubmed_authors><pubmed_authors>Haack D</pubmed_authors><pubmed_authors>Toor N</pubmed_authors><pubmed_authors>Janos P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Ensemble refinement of mismodeled cryo-EM RNA structures using all-atom simulations.</name><description>The advent of single-particle cryogenic electron microscopy (cryo-EM) has enabled near-atomic resolution imaging of large macromolecules, enhancing functional insights. However, current cryo-EM refinement tools condense all single-particle images into a single structure, which can misrepresent highly flexible molecules like RNAs. Here, we combine molecular dynamics simulations with cryo-EM density maps to better account for the structural dynamics of a complex and biologically relevant RNA macromolecule. Namely, using metainference, a Bayesian method, we reconstruct an ensemble of structures of the group II intron ribozyme, which better matches experimental data, and we reveal inaccuracies of single-structure approaches in modeling flexible regions. An analysis of all RNA-containing struct</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 May</publication><modification>2026-04-08T19:53:35.022Z</modification><creation>2026-04-08T14:32:01.903Z</creation></dates><accession>S-EPMC12084557</accession><cross_references><pubmed>40379699</pubmed><doi>10.1038/s41467-025-59769-0</doi></cross_references></HashMap>