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tooluniverse-infectious-disease

维护者 FreedomIntelligence · 最近更新 2026年4月1日

Rapid pathogen characterization and drug repurposing analysis for infectious disease outbreaks. Identifies pathogen taxonomy, essential proteins, predicts structures, and screens existing drugs via docking. Use when facing novel pathogens, emerging infections, or needing rapid therapeutic options during outbreaks.

OpenClawNanoClaw分析处理复现实验tooluniverse-infectious-disease🏥 medical & clinicalmedical toolsrapid

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-infectious-disease

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • Rapid response system ，用于 emerging pathogens ，使用 taxonomy analysis，target identification，structure prediction，、 computational drug repurposing。
  • KEY PRINCIPLES：1. Speed is critical - Optimize ，用于 rapid actionable intelligence 2. Target essential proteins - Focus on conserved，essential viral/bacterial proteins 3. Leverage existing drugs - Prioritize FDA-approved compounds ，用于 repurposing 4. Structure-guided - Use NvidiaNIM ，用于 rapid structure prediction 、 docking 5. Evidence-graded - Grade repurposing candidates by evidence strength 6. Actionable output - Prioritized drug candidates ，支持 rationale 7. English-first queries - Always use English terms in tool calls (pathogen names，protein names，drug names)，even if user writes in another language. Only try original-language terms as fallback. Respond in user's language。

原始文档

SKILL.md 摘录

When to Use

Apply when user asks:

  • "New pathogen detected - what drugs might work?"
  • "Emerging virus [X] - therapeutic options?"
  • "Drug repurposing candidates for [pathogen]"
  • "What do we know about [novel coronavirus/bacteria]?"
  • "Essential targets in [pathogen] for drug development"
  • "Can we repurpose [drug] against [pathogen]?"

1. Report-First Approach (MANDATORY)

  1. Create the report file FIRST:

    • File name: [PATHOGEN]_outbreak_intelligence.md
    • Initialize with section headers
    • Add placeholder: [Analyzing...]

  2. Progressively update as you gather data

  3. Output separate files:

    • [PATHOGEN]_drug_candidates.csv - Ranked repurposing candidates
    • [PATHOGEN]_target_proteins.csv - Druggable targets

Target: RNA-dependent RNA polymerase (RdRp)

  • UniProt: P0DTD1 (NSP12)
  • Essentiality: Required for replication
  • Conservation: >95% across variants
  • Drug precedent: Remdesivir targets RdRp

Source: UniProt via UniProt_search, literature review


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适用场景

  • 适合在facing novel pathogens，emerging infections，或 needing rapid therapeutic options during outbreaks时使用。

不适用场景

  • Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。

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