string-database
查询STRING蛋白质相互作用数据库
Também disponível em: K-Dense-AI
访问STRING数据库的蛋白质-蛋白质相互作用网络，覆盖5900万种蛋白质和200亿个相互作用。执行功能富集分析，发现相互作用伙伴，并为系统生物学研究生成网络可视化。
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A utilizar "string-database". 获取TP53的相互作用伙伴
Resultado esperado:
- Top TP53 interactors: MDM2 (score 999), MDM4 (score 995), ATM (score 957)
- MDM2是具有实验证据的最强相互作用蛋白
A utilizar "string-database". 富集BRCA1基因列表
Resultado esperado:
- DNA repair (GO:0006281) FDR: 1.2e-15
- Cell cycle (GO:0007049) FDR: 3.4e-12
- Homologous recombination (GO:0000724) FDR: 8.9e-10
A utilizar "string-database". 创建网络图像
Resultado esperado:
- 生成显示TP53、ATM、CHEK2、BRCA1连接的网络图像
- 边按证据类型着色，粗细按置信度分数
Auditoria de Segurança
SeguroAll static findings are false positives. External command detections are markdown code fences, network access is to legitimate STRING database API, filesystem operations save visualization images, and heuristic alerts are standard API client patterns. No malicious intent detected.
Fatores de risco
🌐 Acesso à rede (1)
📁 Acesso ao sistema de arquivos (1)
Pontuação de qualidade
O Que Você Pode Construir
蛋白质相互作用分析
分析来自蛋白质组学或RNA-seq实验的基因列表的蛋白质网络
通路富集
识别蛋白质集合中富集的GO术语和KEGG通路
相互作用伙伴发现
查找并可视化与目标蛋白质相互作用的蛋白质
Tente Estes Prompts
Use string-database to get the interaction network for TP53 and MDM2 at high confidence (score 700)
Perform GO and KEGG enrichment analysis on these proteins: TP53, BRCA1, ATM, CHEK2, MDM2
Create a confidence-colored network image for these cancer genes and save as png
Check if these proteins form a significantly connected module: BRCA1, BRCA2, PALB2, RAD51, ATM
Melhores Práticas
- 首先将基因名称映射到STRING ID以加快查询速度
- 使用适合您分析目标的置信度分数阈值
- 在API调用之间等待1秒以遵守速率限制
Evitar
- 不要对出版物图形使用低置信度阈值
- 对于大型蛋白质列表不要省略物种参数
- 解析API响应时不要跳过错误检查