BioNAR

BioNAR supports step-by-step analysis of protein-protein interaction networks to quantify and rank each protein's simultaneous impact into multiple complexes based on network topology and clustering.

Key Features:

• Vertex Ranking: Quantifies and ranks each network vertex based on network topology and clustering.
• Clustering Analysis: Splits biological networks into communities to discover sub-complexes enriched with molecules associated with specific diseases or molecular functions.
• Co-occurrence Estimation: Estimates co-occurrence of metadata, including diseases and functions, across the network and specific clusters to identify shared mechanisms.

Scientific Applications:

• Protein Complex Impact Prediction: Predicts a protein's impact within multiple complexes in proteomic networks.
• Disease Mechanism Identification: Identifies clusters whose components are likely to share common function and disease mechanisms.
• Sub-complex Discovery: Discovers sub-complexes with emergent architectural properties not apparent from constituent components alone.

Methodology:

BioNAR applies methods developed for social science network analysis to split biological networks into communities, linking molecules together and analyzing emergent architectural properties.