数据与复现蛋白结构与设计FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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tooluniverse-systems-biology

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

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.

OpenClawNanoClaw分析处理复现实验tooluniverse-systems-biology🏥 medical & clinicalmedical toolscomprehensive

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-systems-biology

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

  • Comprehensive pathway 、 systems biology analysis integrating multiple curated databases to provide multi-dimensional view of biological systems,pathway enrichment,、 protein-pathway relationships。
  • 分析 pathways ,用于 this gene list。
  • What pathways is [protein] involved in。
  • Find pathways related to [keyword/process]。
  • 执行 pathway enrichment analysis。

原始文档

SKILL.md 摘录

Core Databases Integrated

DatabaseCoverageStrengths
ReactomeHuman-curated reactions & pathwaysDetailed mechanistic pathways with reactions
KEGGReference pathways across organismsMetabolic maps, disease pathways, drug targets
WikiPathwaysCommunity-curated pathwaysEmerging processes, collaborative updates
Pathway CommonsIntegrated meta-databaseAggregates multiple sources (Reactome, KEGG, etc.)
BioModelsComputational SBML modelsMathematical/dynamic systems biology models
EnrichrStatistical enrichmentPathway over-representation analysis

Phase 1: Pathway Enrichment Analysis

When: Gene list provided (from experiments, screens, differentially expressed genes)

Objective: Identify biological pathways statistically over-represented in gene list

Tools Used

enrichr_gene_enrichment_analysis:

  • Input:
    • gene_list: Array of gene symbols (e.g., ["TP53", "BRCA1", "EGFR"])
    • library: Pathway database (e.g., "KEGG_2021_Human", "Reactome_2022")
  • Output: Array of enriched pathways with p-values, adjusted p-values, genes
  • Use: Statistical over-representation analysis

适用场景

  • Use tooluniverse-systems-biology in 科研工作流 aligned ,支持 this subject area。
  • Follow upstream documentation ,用于 full working procedure。

不适用场景

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

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