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Article


Title

RNAloops: a database of RNA multiloops

Authors

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

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Published in

Bioinformatics

Journal year: 2022 | Journal volume: vol. 38 | Journal number: iss. 17

Article type

scientific article

Publication language

english

Keywords
EN
  • database
  • RNA structure
  • n-way junction
  • multiloop
  • Euler angles
Abstract

EN Motivation. Knowledge of the three-dimensional structure of RNA supports discovering its functions and is crucial for designing drugs and modern therapeutic solutions. Thus, much attention is devoted to experimental determination and computational prediction targeting the global fold of RNA and its local substructures. The latter include multi-branched loops – functionally significant elements that highly affect the spatial shape of the entire molecule. Unfortunately, their computational modeling constitutes a weak point of structural bioinformatics. A remedy for this is in collecting these motifs and analyzing their features. Results. RNAloops is a self-updating database that stores multi-branched loops identified in the PDB-deposited RNA structures. A description of each loop includes angular data – planar and Euler angles computed between pairs of adjacent helices to allow studying their mutual arrangement in space. The system enables search and analysis of multiloops, presents their structure details numerically and visually, and computes data statistics.

Date of online publication

09.07.2022

Pages (from - to)

4200 - 4205

DOI

10.1093/bioinformatics/btac484

URL

https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac484/6637509

Comments

Article: btac484

License type

CC BY-NC (attribution - noncommercial)

Open Access Mode

czasopismo hybrydowe

Open Access Text Version

final published version

Date of Open Access to the publication

in press

Points of MNiSW / journal

200.0

Impact Factor

6.937 [List 2020]

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