What problem does it solve?
Investigating how a drug works requires querying many disconnected databases—DrugBank, ChEMBL, KEGG, Reactome, STRING, DailyMed, CPIC—and synthesizing their results into a coherent mechanism narrative, which is slow and error-prone when done manually.
Core Features & Use Cases
- Target and MOA Identification: Resolve a drug name to ChEMBL/PharmGKB identifiers and retrieve its primary targets, action types, and literature-backed mechanisms from OpenTargets and ChEMBL.
- Pathway and Off-Target Mapping: Map targets to KEGG, Reactome, and WikiPathways pathways, run enrichment for multi-target drugs, and assess off-target binding via ChEMBL bioactivity and STRING networks.
- Regulatory and Pharmacogenomic Context: Pull FDA label sections from DailyMed, CPIC gene-drug pairs, and FDA PGx biomarkers, then integrate everything into a tiered evidence report.
- Use Case: Ask how metformin works and receive a structured report covering its AMPK target, pathway context, off-targets, CYP pharmacogenomics, drug interactions, and literature evidence.
Quick Start
Ask the agent to investigate the mechanism of action of metformin, including its primary target, affected pathways, off-target effects, and pharmacogenomic interactions.