PERFUMES: pipeline to extract RNA functional motifs and exposed structures

Area of Science:

• Computational Biology
• RNA Structure
• Bioinformatics

Background:

• A significant portion of the human genome encodes RNAs, many of which require specific 3D structures for function.
• Non-canonical base pairs within RNA secondary structures stabilize complex 3D motifs crucial for molecular interactions and catalysis.

Purpose of the Study:

• To introduce PERFUMES, a computational pipeline designed to identify RNA 3D motifs associated with observable biological features.
• To enable the discovery of novel RNA structural motifs by analyzing experimental data and predicting functional relevance.

Main Methods:

• PERFUMES utilizes BayesPairing2 to search for RNA 3D motifs within sets of RNA sequences linked to experimental measurements.
• The pipeline identifies motifs over-represented in positive experimental outcome sequences and performs thermodynamic analysis for structural context.
• The tool was demonstrated on the SNRPA protein binding site to validate its motif identification capabilities.

Main Results:

• PERFUMES successfully identified known RNA 3D motifs associated with the SNRPA protein binding site.
• The pipeline also discovered novel RNA 3D motifs, highlighting its potential for new biological insights.
• Thermodynamic analysis provided context for the predicted structural motifs, aiding in the interpretation of their functional significance.

Conclusions:

• PERFUMES is an effective open-source computational tool for identifying functional RNA 3D motifs.
• The pipeline facilitates the discovery of novel RNA structural elements and enhances the understanding of RNA function.
• PERFUMES offers a valuable resource for researchers investigating RNA structure-function relationships.