What problem does it solve? Finding new therapeutic uses for existing drugs requires manually searching dozens of disconnected databases (DrugBank, OpenTargets, ChEMBL, FAERS, PubMed) and synthesizing target, safety, and literature evidence. This Skill automates that multi-database workflow so researchers can systematically rank repurposing candidates instead of spending weeks on manual literature and database review. ## Core Features & Use Cases - Three Repurposing Strategies: Target-based (disease targets to drugs), compound-based (approved drugs to new indications), and disease-driven (disease to targets to existing drugs), plus mechanism, network, phenotype, and structure-based variants. - Integrated Safety Assessment: Pulls FDA warnings, FAERS adverse event counts, death-related reports, and drug-drug interactions, plus ADMET/toxicity predictions via ADMET-AI. - Composite Scoring & Ranking: Scores candidates 0-100 across target association, safety profile, literature evidence, and drug properties, with a ready-made report template. - Use Case: Given a disease like Alzheimer's, retrieve its top OpenTargets-associated genes, find approved drugs hitting those targets via DGIdb and DrugBank, filter out drugs already indicated for the disease, then rank survivors by FAERS safety data and PubMed/clinical trial evidence. ## Quick Start Ask the assistant to find drug repurposing candidates for a specific disease using ToolUniverse, and it will retrieve disease targets, matching approved drugs, safety profiles, and literature evidence, then return a scored and ranked candidate list.
