Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/222760
Title: The pseudotorsional space of RNA
Author: Grille, Leandro
Gallego Perez, Diego
Darré, Leonardo
da Rosa, Gabriela
Battistini, Federica
Orozco López, Modesto
Dans, Pablo D.
Keywords: Bioinformàtica
Mineria de dades
Bioinformatics
Data mining
Issue Date: 1-Dec-2023
Publisher: Cold Spring Harbor Laboratory Press
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.
Note: Reproducció del document publicat a: https://doi.org/10.1261/rna.079821.123
It is part of: RNA, 2023, vol. 29, num.8, p. 1896-1909
URI: https://hdl.handle.net/2445/222760
Related resource: https://doi.org/10.1261/rna.079821.123
ISSN: 1355-8382
Appears in Collections:Articles publicats en revistes (Bioquímica i Biomedicina Molecular)

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