2025年的STRING数据库:具有监管方向性的蛋白质网络
Damian Szklarczyk1,2, Katerina Nastou3, Mikaela Koutrouli3
1Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
现在,STRING数据库集成了调节性蛋白相互作用,增强了系统生物学研究. 这次更新为全面的细胞过程分析提供了不同的功能,物理和监管网络.
科学领域:
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 了解蛋白质-蛋白质相互作用对于阐明细胞过程至关重要.
- STRING数据库汇总了来自不同来源的蛋白质关联数据.
- 之前的版本专注于物理和功能互动.
研究的目的:
- 在STRING数据库中引入一个新的"监管网络".
- 以更新的路径丰富分析和网络可视化工具来增强STRING数据库.
- 为机器学习应用程序提供可下载的网络嵌入.
主要方法:
- 从实验分析,计算预测和先前知识中整合蛋白质-蛋白质关联数据.
- 开发一个"监管网络",使用精选的路径数据库和文献挖掘.
- 实施改进的错误发现率纠正和冗余过用于路径丰富分析.
- 生成可下载的网络嵌入式.
主要成果:
- 现在,STRING 12.5 版本提供了三个不同的网络类型:功能,物理和监管.
- 更新了路径丰富分析,增强了可视化和统计纠正.
- 改进了集群网络的注释,并提供了用于机器学习的网络嵌入.
- 促进跨物种的蛋白质信息传输.
结论:
- 增强的STRING数据库为系统层面了解细胞功能提供了更全面的资源.
- 新的监管网络和更新的工具满足了分子生物学和生物信息学领域的各种研究需求.
- STRING 12.5支持高级分析,包括机器学习和跨物种比较.
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