2025-08-25T12:29:13Z
2025-08-25T12:29:13Z
2023-12-01
2025-08-25T12:29:13Z
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.
Article
Published version
English
Bioinformàtica; Mineria de dades; Bioinformatics; Data mining
Cold Spring Harbor Laboratory Press
Reproducció del document publicat a: https://doi.org/10.1261/rna.079821.123
RNA, 2023, vol. 29, num.8, p. 1896-1909
https://doi.org/10.1261/rna.079821.123
cc-by-nc (c) Leandro Grille et al., 2023
http://creativecommons.org/licenses/by-nc/4.0/