🧪 Skills
Drug Team
Coordinates specialized AI agents to design novel drug candidates with synthesis routes, inventory checks, ADMET/Tox evaluation, pharmacology scoring, and pa...
v1.0.0
Description
drug-team
Meta-skill that orchestrates a team of specialized AI agents for drug design.
Overview
- Purpose: Designs novel drug candidates for a given target/indication with constraints (e.g., "Design drug for pain relief, logP<3").
- Agents:
- Chem Synth (uses chemistry-query skill): Proposes molecular scaffolds and synthesis routes.
- Synth Notebook (uses synth-notebook skill): Visualizes routes, optimizes yields, checks safety.
- Lab Inventory (uses lab-inventory skill): Checks stock for reagents, estimates costs.
- ADMET: Predicts QED, SA, logP, TPSA, pKa using RDKit/ML proxies.
- Tox: Checks PAINS, Brenk alerts, Ames test.
- Pharm: Evaluates target binding affinity (docking proxy via web/tools).
- Patent Scout (uses patent_scout.py): Scans for prior art patents, computes novelty score, checks for blocking patents via web searches.
- Coordination: Iterative polling and messaging between agents to refine candidates.
- Output: Table of top 3 molecules (SMILES, route, scores) + visualizations (e.g., mol images).
Triggers
- drug design
- design drug
- painkiller
- drug synthesis
- synth pharm
- design molecule
- "low tox" drug
- inventory-aware design
- design with stock check
- check stock for synthesis
- patent
- novelty
- prior art
Usage
When triggered, runs scripts/orchestrate.py \"{user_query}\" .
Integration
- Integrates chemistry-query for initial scaffolds and routes.
- Uses synth-notebook for route visualization, yield optimization, and safety checks.
- Incorporates lab-inventory for reagent stock checking and cost estimation.
- Ranks candidates including feasibility scores based on yield, safety (with SDS scans for route chemicals, risk scores, and alerts), and inventory availability.
- Post-design patent scouting to include novelty scores and blocking status in candidate ranking ("High novelty: no blocking patents").
Dependencies
- RDKit (installed)
- chemistry-query skill (exists)
- synth-notebook skill
- lab-inventory skill
- Matplotlib/Plotly for viz
- OpenClaw subagent spawning
- beautifulsoup4 for patent_scout scraping
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