What problem does it solve? Pharmaceutical research requires pulling compound, bioactivity, interaction, and safety data from multiple public databases, each with its own API and query syntax. This Skill consolidates those lookups into ready-to-run commands and scripts so researchers can screen molecules and targets without writing API client code. ## Core Features & Use Cases - Bioactive Compound Search: Query ChEMBL by target name or ID and retrieve molecules with pChEMBL activity values, no API key required. - Drug-Likeness Screening: Evaluate compounds against Lipinski's Rule of Five and Veber rules using PubChem property data, including batch screening via the ro5_screen.py script. - Safety & Interaction Lookup: Pull drug interaction text from FDA labels and top reported adverse events from OpenFDA, plus gene-disease associations from OpenTargets. - Use Case: A medicinal chemist evaluating a lead series can batch-screen candidate names for Ro5/Veber compliance, then check the top hit's ChEMBL bioactivity against the intended target and review FDA adverse event reports for related drugs. ## Quick Start Ask the agent to check whether aspirin passes Lipinski's Rule of Five and find active compounds against the EGFR target in ChEMBL.
