tooluniverse-infectious-disease
COMPUTE, DON'T DESCRIBE
When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.
Infectious Disease Outbreak Intelligence
Rapid response system for emerging pathogens using taxonomy analysis, target identification, structure prediction, and computational drug repurposing.
KEY PRINCIPLES:
- Speed is critical - Optimize for rapid actionable intelligence
- Target essential proteins - Focus on conserved, essential viral/bacterial proteins
- Leverage existing drugs - Prioritize FDA-approved compounds for repurposing
- Structure-guided - Use NvidiaNIM for rapid structure prediction and docking
- Evidence-graded - Grade repurposing candidates by evidence strength
- Actionable output - Prioritized drug candidates with rationale
- English-first queries - Always use English terms in tool calls; respond in user's language
REASONING STRATEGY — Start Here: Start with pathogen identification: What type of organism? (virus, bacteria, fungus, parasite). Then ask:
- What are the essential proteins? (required for replication or viability — cannot be mutated away)
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