AA
AAV vector design: capsid selection, promoter optimization, payload capacity.
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数据与复现
TO
tooluniverse-network-pharmacology
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Construct and analyze compound-target-disease networks for drug repurposing, polypharmacology discovery, and systems pharmacology. Builds multi-layer networks from ChEMBL, OpenTargets, STRING, DrugBank, Reactome, FAERS, and 60+ other ToolUniverse tools. Calculates Network Pharmacology Scores (0-100), identifies repurposing candidates, predicts mechanisms, and analyzes polypharmacology. Use when users ask about drug….
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-network-pharmacology
- 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
核心说明
- Construct 、 analyze compound-target-disease (C-T-D) networks to identify drug repurposing opportunities，understand polypharmacology，、 predict drug mechanisms ，使用 systems pharmacology approaches。
- IMPORTANT：Always use English terms in tool calls (drug names，disease names，target names)，even if user writes in another language. Only try original-language terms as fallback if English returns no results. Respond in user's language。
- report_path = "[entity]_network_pharmacology_report.md。
原始文档
SKILL.md 摘录
When to Use This Skill
Apply when users:
- Ask "Can [drug] be repurposed for [disease] based on network analysis?"
- Want to understand multi-target (polypharmacology) effects of a compound
- Need compound-target-disease network construction and analysis
- Ask about network proximity between drug targets and disease genes
- Want systems pharmacology analysis of a drug or target
- Ask about drug repurposing candidates ranked by network metrics
- Need mechanism prediction for a drug in a new indication
- Want to identify hub genes in disease networks as therapeutic targets
- Ask about disease module coverage by a compound's targets
NOT for (use other skills instead):
- Simple drug repurposing without network analysis -> Use
tooluniverse-drug-repurposing - Single target validation -> Use
tooluniverse-drug-target-validation - Adverse event detection only -> Use
tooluniverse-adverse-event-detection - General disease research -> Use
tooluniverse-disease-research - GWAS interpretation -> Use
tooluniverse-gwas-snp-interpretation
Input Parameters
| Parameter | Required | Description | Example |
|---|---|---|---|
| entity | Yes | Compound name/ID, target gene symbol/ID, or disease name/ID | metformin, EGFR, Alzheimer disease |
| entity_type | No | Type hint: compound, target, or disease (auto-detected if omitted) | compound |
| analysis_mode | No | compound-to-disease, disease-to-compound, target-centric, bidirectional (default) | bidirectional |
| secondary_entity | No | Second entity for focused analysis (e.g., disease for compound input) | Alzheimer disease |
适用场景
- Ask "Can [drug] be repurposed ，用于 [disease] based on network analysis。
- Want to understand multi-target (polypharmacology) effects of compound。
- Need compound-target-disease network construction 、 analysis。
- Ask about network proximity between drug targets 、 disease genes。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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