从多个数据库中搜索,检索,可视化和分析蛋白质-蛋白质相互作用:实验生物学家指南
1Independent Researcher, Jijamata Nagar, Hingoli, India. vijay.muley@comunidad.unam.mx.
Methods in molecular biology (Clifton, N.J.)
|July 14, 2023
概括
发现蛋白质功能是具有挑战性的,因为注释有限. 本研究介绍了Cytoscape应用程序,可以轻松导入和分析蛋白质-蛋白质相互作用网络,帮助功能上下文发现.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 系统生物学 系统生物学
背景情况:
- 很大一部分蛋白质缺乏功能注释,即使在模型生物中也是如此.
- 使用蛋白质-蛋白质相互作用 (PPI) 的"因关联罪恶感"方法是推断蛋白质功能的常见方法.
- 现有的PPI数据复杂且分散在多个数据库中,这阻碍了研究人员的分析.
研究的目的:
- 为导入和分析蛋白质-蛋白质相互作用网络提供可访问的协议.
- 为了促进蛋白质功能的研究和非特征化蛋白质的功能背景.
- 为实验生物学家提供导航复杂PPI数据的工具.
主要方法:
- 利用Cytoscape作为网络可视化和分析的平台.
- 使用PSICQUIC,stringApp和IntAct App来导入来自不同来源的PPI数据.
- 在Cytoscape中逐步开发协议,以无地集成和分析数据.
主要成果:
- 展示了将蛋白质相互作用网络导入到Cytoscape中的协议.
- 能够直接分析感兴趣的蛋白质及其在Cytoscape中的功能背景.
- 为实验生物学家提供了一个用户友好的方法来访问和解释PPI数据.
结论:
- 描述的Cytoscape应用程序简化了复杂的蛋白质-蛋白质相互作用数据的导入和分析.
- 这些工具增强了通过它们的相互作用网络推断未表征蛋白质功能的能力.
- 促进对感兴趣的蛋白质的功能上下文研究可以改善生物发现.
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