BPNet

BPNet analyzes base pair networks within RNA structures to compute and represent canonical and non-canonical base-pairing interactions and stacking overlaps for structural network analysis.

Key Features:

• Graph formalism for network analysis: Uses graph formalism to compute and represent base-pair networks and contact network components.
• Canonical and non-canonical interaction detection: Identifies canonical and non-canonical base-pair interactions, including cases where a single base engages multiple partners.
• Input compatibility: Accepts structural input in mmCIF and PDB file formats.
• Computational flexibility: Runs on Linux and supports both serial and parallel modes of operation.
• Visualization outputs: Generates output files suitable for visualizing computed networks and stacking overlaps.

Scientific Applications:

• RNA structural analysis: Enables detailed examination of base-pairing networks within RNA molecules to characterize their molecular architecture.
• Non-canonical interaction characterization: Detects and maps non-canonical contacts and multi-partner base interactions to reveal complex interaction topologies.
• Stability and stacking analysis: Identifies stacking overlaps and contact components that contribute to RNA structural stabilization.

Methodology:

Analyzes mmCIF or PDB structural input using graph formalism to identify and compute network components representing base-pairing interactions and stacking overlaps.