APPIC (Atlas of Protein-Protein Interactions in Cancer)

APPIC provides interactive visualizations of protein-protein interaction subnetworks in cancer, derived from RNA sequencing data and integrating data from multiple databases to facilitate drug discovery and therapeutic repurposing.

Key Features:

• PPI Subnetwork Visualization: Provides PPI subnetworks of 10 cancer types and their subtypes shared by cohorts of patients.
• Subtype-Specific PPI Identification: Identifies PPIs specific to 26 distinct cancer subtypes from publicly available RNA sequencing data.
• Multi-Database Integration: Compiles biological and clinical information from the Human Protein Atlas, Hugo Gene Nomenclature Committee, g:Profiler, cBioPortal, and Clue.io.
• Network Visualization Options: Supports both 2D and 3D PPI network visualizations.
• Exportable Output Files: Provides all output files for further analysis and visualization on other platforms or tools.

Scientific Applications:

• Tumor Subtype-Specific Therapeutic Discovery: Supports the discovery of novel targeted therapeutics specific to cancer subtypes by analyzing PPI patterns.
• Drug Repurposing: Facilitates therapeutic repurposing through comprehensive insights into PPIs and their role in cancer.

Methodology:

APPIC analyzes publicly available RNA sequencing data from patients to identify PPIs specific to cancer subtypes, integrating biological and clinical information from multiple databases.