The pseudotorsional space of RNA

dc.contributor.author
Grille, Leandro
dc.contributor.author
Gallego Perez, Diego
dc.contributor.author
Darré, Leonardo
dc.contributor.author
da Rosa, Gabriela
dc.contributor.author
Battistini, Federica
dc.contributor.author
Orozco López, Modesto
dc.contributor.author
Dans, Pablo D.
dc.date.accessioned
2025-11-19T19:20:16Z
dc.date.available
2025-11-19T19:20:16Z
dc.date.issued
2025-08-25T12:29:13Z
dc.date.issued
2025-08-25T12:29:13Z
dc.date.issued
2023-12-01
dc.date.issued
2025-08-25T12:29:13Z
dc.identifier
1355-8382
dc.identifier
https://hdl.handle.net/2445/222760
dc.identifier
755005
dc.identifier.uri
https://hdl.handle.net/2445/222760
dc.description.abstract
The characterization of the conformational landscape of the RNA backbone is rather complex due to the ability of RNA to assume a large variety of conformations. These backbone conformations can be depicted by pseudotorsional angles linking RNA backbone atoms, from which Ramachandran-like plots can be built. We explore here different definitions of these pseudotorsional angles, finding that the most accurate ones are the traditional η (eta) and θ (theta) angles, which represent the relative position of RNA backbone atoms P and C4′. We explore the distribution of η − θ in known experimental structures, comparing the pseudotorsional space generated with structures determined exclusively by one experimental technique. We found that the complete picture only appears when combining data from different sources. The maps provide a quite comprehensive representation of the RNA accessible space, which can be used in RNA-structural predictions. Finally, our results highlight that protein interactions lead to significant changes in the population of the η − θ space, pointing toward the role of induced-fit mechanisms in protein–RNA recognition.
dc.format
15 p.
dc.format
application/pdf
dc.format
application/pdf
dc.language
eng
dc.publisher
Cold Spring Harbor Laboratory Press
dc.relation
Reproducció del document publicat a: https://doi.org/10.1261/rna.079821.123
dc.relation
RNA, 2023, vol. 29, num.8, p. 1896-1909
dc.relation
https://doi.org/10.1261/rna.079821.123
dc.rights
cc-by-nc (c) Leandro Grille et al., 2023
dc.rights
http://creativecommons.org/licenses/by-nc/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Bioquímica i Biomedicina Molecular)
dc.subject
Bioinformàtica
dc.subject
Mineria de dades
dc.subject
Bioinformatics
dc.subject
Data mining
dc.title
The pseudotorsional space of RNA
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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