PRALINE

PRALINE aggregates curated and predicted data on protein and RNA interactions, phase-separation propensities, RNA secondary structures, and human single-nucleotide variants to support analysis of biological condensates and their disease relevance.

Key Features:

• Interaction Data: Provides predicted and experimentally validated protein-protein, protein-RNA, and RNA-RNA interactions relevant to condensate composition and dynamics.
• Phase Separation Propensities: Reports liquid-liquid phase separation (LLPS) and liquid-solid phase separation (LSPS) propensities for proteins.
• RNA Secondary Structure Prediction: Includes predicted RNA secondary structures that influence protein and RNA interactions within condensates.
• Single-Nucleotide Variants (SNVs): Catalogs human single-nucleotide variants (SNVs) with clinical significance annotations and maps SNVs to protein and RNA binding sites to assess effects on condensate physical properties.

Scientific Applications:

• Condensate Biology: Investigating formation, composition, and stability of biological condensates using interaction networks and phase-separation propensities.
• Molecular Interaction Mapping: Mapping protein-protein, protein-RNA, and RNA-RNA networks to elucidate interaction-driven condensate dynamics.
• Variant Impact and Disease Research: Assessing how human SNVs within protein and RNA binding sites alter condensate properties and contribute to diseases linked to protein or RNA aggregation.

Methodology:

Combines computational predictions, including RNA secondary-structure prediction, with experimental validations.