What problem does it solve?
Reduces the time and effort needed to evaluate small molecules for discovery research by combining target finding, drug-likeness scoring, interaction lookups, and safety/ADMET-style interpretation into one workflow.
Core Features & Use Cases
- Bioactive compound search (ChEMBL): Find targets and retrieve top bioactive compounds by potency (e.g., pChEMBL thresholds) and fetch molecule details by ChEMBL ID.
- Drug-likeness scoring (PubChem): Compute key property inputs for Lipinski Ro5 and Veber oral bioavailability rules using publicly accessible PubChem property endpoints.
- Drug interaction and safety signals (OpenFDA): Look up reported drug-drug interaction labels and adverse event counts to support early safety and interaction assessment.
- Gene–disease association context (OpenTargets): Query disease associations for a given gene/target and surface scored top links for hypothesis generation.
Quick Start
Run the drug-discovery skill to search a molecule or target, compute Ro5/Veber properties, and summarize interaction and safety signals using public APIs.