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Article

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Title

RNAtango: analysing and comparing RNA 3D structures via torsional angles

Authors

[ 1 ] Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ 2 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ S ] student | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Published in

PLoS Computational Biology

Journal year: 2024 | Journal volume: in press

Article type

scientific article

Publication language

english

Keywords
EN
  • RNA 3D structure
  • torsion angles
  • angular metrics
  • structure analysis
  • RNA structure similarity
Abstract

EN RNA molecules, essential for viruses and living organisms, derive their pivotal functions from intricate 3D structures. To understand these structures, one can analyze torsion and pseudo-torsion angles, which describe rotations around bonds, whether real or virtual, thus capturing the RNA conformational flexibility. Such an analysis has been made possible by RNAtango, a web server introduced in this paper, that provides a trigonometric perspective on RNA 3D structures, giving insights into the variability of examined models and their alignment with reference targets. RNAtango offers comprehensive tools for calculating torsion and pseudo-torsion angles, generating angle statistics, comparing RNA structures based on backbone torsions, and assessing local and global structural similarities using trigonometric functions and angle measures. The system operates in three scenarios: single model analysis, model-versus-target comparison, and model-versus-model comparison, with results output in text and graphical formats. Compatible with all modern web browsers, RNAtango is accessible freely along with the source code. It supports researchers in accurately assessing structural similarities, which contributes to the precision and efficiency of RNA modeling.

Date of online publication

07.10.2024

Pages (from - to)

e1012500-1 - e1012500-15

DOI

10.1371/journal.pcbi.1012500

URL

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012500

Comments

Article Number: e1012500

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

in press

Ministry points / journal

140

Impact Factor

3,8 [List 2023]

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