CADDIE

CADDIE facilitates evidence-based drug selection and drug repurposing in oncology by integrating gene-gene and drug-gene interaction data to identify therapeutic targets associated with cancer driver genes.

Key Features:

• Integration of databases: Consolidates data from six human gene-gene interaction databases and four drug-gene interaction databases to build comprehensive interaction networks.
• Comprehensive cancer-specific datasets: Incorporates cancer driver genes, mutation frequencies stratified by cancer type, gene expression profiles, genetically related diseases, and anticancer drugs.
• Network algorithms: Applies advanced network algorithms to identify drug targets and repurposing candidates, including indirect targeting via functionally related genes within interaction networks.
• Guided computational workflow: Provides a computational workflow that proceeds from selection of seed genes to prioritization of therapeutic targets and candidate drugs.

Scientific Applications:

• Drug repurposing discovery: Systematic identification of drug repurposing candidates for oncology using integrated interaction and cancer-specific data.
• Target identification: Prioritization of novel therapeutic targets, including network-derived indirect targets for genes that are not directly druggable.
• Precision oncology prioritization: Prioritization of targets and drugs by combining mutation frequencies and gene expression specific to cancer types to inform personalized treatment strategies.

Methodology:

Integrates gene-gene and drug-gene interaction databases with cancer-specific datasets to construct interaction networks, analyzes these networks with specialized network algorithms to identify drug-gene interactions and repurposing opportunities, and follows a computational workflow from seed gene selection to target and drug prioritization.