What problem does it solve? Pharmaceutical research requires querying multiple public databases and applying drug-likeness rules manually, which is slow and error-prone. This Skill automates bioactive compound search, molecular property screening, drug interaction lookup, and ADMET reasoning using free public APIs. ## Core Features & Use Cases - Bioactive Compound Search: Query ChEMBL by target name or ID to retrieve compounds with pChEMBL activity values, no API key required. - Drug-Likeness Screening: Batch-screen compounds against Lipinski Ro5 and Veber rules using PubChem property data via the included ro5_screen.py script. - Safety & Interaction Lookup: Pull drug interaction labels and adverse event reports from OpenFDA, plus gene-disease associations from OpenTargets. - Use Case: A medicinal chemist evaluating a lead series can run ro5_screen.py on candidate molecules, check CYP450 liabilities using the ADMET reference, and look up adverse events for comparator drugs in one workflow. ## Quick Start Ask the assistant to screen aspirin, ibuprofen, and your candidate compound for Lipinski Rule of Five compliance and summarize any violations.