What problem does it solve? Pharmaceutical research requires pulling compound data, bioactivity measurements, and safety information from multiple public databases, each with its own API and query syntax. This Skill consolidates those lookups into ready-to-run workflows so researchers can screen molecules and assess drug-likeness without writing API client code. ## Core Features & Use Cases - Bioactive Compound Search: Query ChEMBL by target name or ID to retrieve active compounds with pChEMBL potency values. - Drug-Likeness Screening: Calculate Lipinski Rule of Five, Veber rules, TPSA, and QED scores for any compound via the PubChem API, including batch screening of multiple molecules. - Safety & Interaction Lookup: Retrieve drug-drug interactions and reported adverse events from OpenFDA labels, plus gene-disease associations from OpenTargets. - Use Case: A medicinal chemist evaluating a lead series can batch-screen candidate molecules against Ro5 and Veber criteria, then check the top hit for known FDA-reported interactions in one session. ## Quick Start Ask the assistant to check whether aspirin and ibuprofen pass the Lipinski Rule of Five and look up their known drug interactions.
