TICTAC: Target Illumination Clinical Trial Analytics with Cheminformatics

This poster presents results from a data integration framework that combines clinical trial metadata to support drug target hypothesis generation through evidence aggregation. We apply a cross-mapping approach across biomedical, chemical, and biological data sources—including the ClinicalTrials.gov AACT database—to infer disease–target associations. The methodology involves mapping drugs to their protein-coding gene targets, linking them to diseases, and scoring these associations using statistical metrics that reflect evidence. This structured approach enables interpretable and reproducible insights in support of the Illuminating the Druggable Genome (IDG) initiative. Presented at the DE Shaw Research Fellowship Meeting, New York, NY, April 10, 2025.