PERFUMES

PERFUMES identifies RNA 3D motifs associated with functional signals by analyzing non-canonical base pairs within secondary-structure loops and linking motif occurrence to binary experimental measurements.

Key Features:

• Identification of 3D Motifs: Detects RNA 3D motifs by analyzing non-canonical base pairs within secondary-structure loops that stabilize local 3D configurations.
• Association with Experimental Data: Processes RNA sequences paired with binary experimental measurements and identifies motifs over-represented in positive sequence sets.
• Thermodynamics Analysis: Evaluates thermodynamic stability of structural contexts surrounding identified motifs under physiological conditions.
• Case Study Application: Applied to the SNRPA protein binding site, retrieving known and novel binder motifs relevant to RNA–protein interactions.

Scientific Applications:

• Non-coding RNA function: Identifies 3D motifs that inform mechanisms of non-coding RNA functional roles.
• RNA–protein interaction mapping: Supports identification of 3D motifs involved in RNA–protein interactions, exemplified by SNRPA binding sites.
• RNA folding and stability studies: Assists analysis of RNA folding patterns and the thermodynamic stability of motif-containing structural contexts.

Methodology:

BayesPairing2 for RNA secondary-structure prediction and 3D motif identification, and statistical analysis to evaluate motif over-representation in positive sequence datasets.