What problem does it solve?
It streamlines early-stage pharmaceutical research by helping you quickly find bioactive compounds, estimate drug-likeness, and interpret interaction and safety signals from public biomedical databases.
Core Features & Use Cases
- Bioactive compound search (ChEMBL): Search targets and retrieve activities to identify candidate molecules and their potency (e.g., pChEMBL filtering).
- Drug-likeness profiling: Compute Lipinski Rule of Five and Veber oral bioavailability heuristics using PubChem properties (MW, LogP, HBD/HBA, TPSA, rotatable bonds).
- Interaction & safety lookups (OpenFDA): Pull reported drug-drug interaction information and adverse event mentions for a given drug name.
- Additional context (OpenTargets): Query gene/target associations with diseases via a GraphQL endpoint for target-disease hypothesis building.
- Use Case: You’re evaluating a new lead for medicinal chemistry optimization and want a fast shortlist by potency, basic oral-liability heuristics, and a first-pass interaction/safety signal.
Quick Start
Use the drug-discovery skill to analyze a candidate by searching ChEMBL for a target, running Ro5/Veber heuristics on a molecule name, and then checking OpenFDA for interaction and adverse-event signals for a drug name.
