RNAsolo: a repository of cleaned PDB-derived RNA 3D structures

Author:

Adamczyk Bartosz1,Antczak Maciej12,Szachniuk Marta12ORCID

Affiliation:

1. Institute of Computing Science, Poznan University of Technology , 60-965 Poznan, Poland

2. Institute of Bioorganic Chemistry, Polish Academy of Sciences , 61-704 Poznan, Poland

Abstract

Abstract Motivation The development of algorithms dedicated to RNA three-dimensional (3D) structures contributes to the demand for training, testing and benchmarking data. A reliable source of such data derived from computational prediction is the RNA-Puzzles repository. In contrast, the largest resource with experimentally determined structures is the Protein Data Bank. However, files in this archive often contain other molecular data in addition to the RNA structure itself, which—to be used by RNA processing algorithms—should be removed. Results RNAsolo is a self-updating database dedicated to RNA bioinformatics. It systematically collects experimentally determined RNA 3D structures stored in the PDB, cleans them from non-RNA chains, and groups them into equivalence classes. It allows users to download various subsets of data—clustered by resolution, source, data format, etc.—for further processing and analysis with a single click. Availability and implementation The repository is publicly available at https://rnasolo.cs.put.poznan.pl.

Funder

Poznan University of Technology

Institute of Bioorganic Chemistry PAS

National Science Centre

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference10 articles.

1. RNANet: an automatically built dual-source dataset integrating homologous sequences and RNA structures;Becquey;Bioinformatics,2021

2. The Protein Data Bank;Berman;Nucleic Acids Res,2000

3. Evaluation of the stereochemical quality of predicted RNA 3D models in the RNA-Puzzles submissions;Carrascoza;RNA,2022

4. RNA-Puzzles toolkit: a computational resource of RNA 3D structure benchmark datasets, structure manipulation, and evaluation tools;Magnus;Nucleic Acids Res,2020

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