Understanding RNA structures - essential for uncovering their biological functions, interactions, and therapeutic potential - relies on both experimental techniques and computational approaches increasingly driven by artificial intelligence. The latter are transforming RNA structural research but depend on large, reliable datasets, which remain limited, particularly for RNA-protein and RNA-DNA complexes. To address this gap, we present RNAsolo 2.0 ( https://rnasolo.cs.put.poznan.pl/), an open-access database integrating cleaned, non-redundant RNA 3D structures with detailed information on their intermolecular interactions. Building on the original RNAsolo, which has attracted over 16,000 page views from ∼5,600 users, this release adds Rfam-based family classification, >2,500 precompiled benchmark sets, and multimodal representations encompassing sequence, secondary and tertiary structure, as well as torsion angle data. RNAsolo 2.0 enables searches for RNAs that interact with specific proteins, ligands, or ions, and provides an interactive view of their binding interfaces. The tool offers a robust, user-friendly platform for RNA structural biology and next-generation AI-driven modeling.
RNAsolo 2.0: multimodal database to study RNAs, their structural families and intermolecular interfaces.
Bartosz Adamczyk,Pawel Boinski,Marta Szachniuk,Maciej Antczak
Published 2025 in Journal of Molecular Biology
ABSTRACT
PUBLICATION RECORD
- Publication year
2025
- Venue
Journal of Molecular Biology
- Publication date
2025-11-01
- Fields of study
Biology, Medicine, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-27 of 27 references · Page 1 of 1
CITED BY
- No citing papers are available for this paper.
Showing 0-0 of 0 citing papers · Page 1 of 1