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Computational Pipeline for Reference-Free Comparative Analysis of RNA 3D Structures Applied to SARS-CoV-2 UTR Models

Autor
Chandran, Nithin
Mukherjee, Sunandan
Bujnicki, Janusz
Wirecki, Tomasz
Popenda, Mariusz
Sarzyńska, Joanna
Pachulska-Wieczorek, Katarzyna
Gumna, Julita
Żok, Tomasz
Rybarczyk, Agnieszka
Data publikacji
2022
Abstrakt (EN)

RNA is a unique biomolecule that is involved in a variety of fundamental biological functions, all of which depend solely on its structure and dynamics. Since the experimental determination of crystal RNA structures is laborious, computational 3D structure prediction methods are experiencing an ongoing and thriving development. Such methods can lead to many models; thus, it is necessary to build comparisons and extract common structural motifs for further medical or biological studies. Here, we introduce a computational pipeline dedicated to reference-free high-throughput comparative analysis of 3D RNA structures. We show its application in the RNA-Puzzles challenge, in which five participating groups attempted to predict the three-dimensional structures of 5′- and 3′-untranslated regions (UTRs) of the SARS-CoV-2 genome. We report the results of this puzzle and discuss the structural motifs obtained from the analysis. All simulated models and tools incorporated into the pipeline are open to scientific and academic use.

Słowa kluczowe EN
5′-UTR
reference-free analysis
RNA 3D structures
3′-UTR
multi-model evaluation
SARS-CoV-2 genome
3D structure prediction
Dyscyplina PBN
nauki chemiczne
Czasopismo
International Journal of Molecular Sciences
Tom
23
Zeszyt
17
Strony od-do
9630
ISSN
1422-0067
Licencja otwartego dostępu
Uznanie autorstwa- Bez utworów zależnych