RNAsolo 2.0: multimodal database to study RNAs, their structural families and intermolecular interfaces

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.