What problem does it solve?
Drug discovery teams need fast, evidence-based ways to search bioactive compounds, estimate drug-likeness properties, and interpret early safety signals without stitching together multiple tools manually.
Core Features & Use Cases
- ChEMBL bioactivity search: Find targets, retrieve pChEMBL-filtered activity, and look up molecule details by ChEMBL ID or name.
- Drug-likeness screening: Calculate oral bioavailability proxies (Lipinski Ro5 and Veber rules) using public PubChem endpoints.
- Interaction and safety lookup: Summarize drug-drug interaction signals and adverse event counts from FDA label/event APIs.
- Target-to-disease association context: Query OpenTargets to understand which diseases a gene/target is associated with.
Quick Start
Use the drug-discovery skill to analyze a compound by asking it to search ChEMBL for bioactive context, compute Lipinski Ro5 + Veber drug-likeness from PubChem, and then check FDA interaction and adverse-event signals for the same compound name.