Suppr超能文献

利用高通量蛋白质-蛋白质相互作用检测方法揭示结构域基序相互作用。

Uncovering domain motif interactions using high-throughput protein-protein interaction detection methods.

机构信息

School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.

Centre for Inflammation, Centenary Institute and Faculty of Science, School of Life Sciences, University of Technology Sydney, Australia.

出版信息

FEBS Lett. 2024 Apr;598(7):725-742. doi: 10.1002/1873-3468.14841. Epub 2024 Mar 5.

Abstract

Protein-protein interactions (PPIs) are often mediated by short linear motifs (SLiMs) in one protein and domain in another, known as domain-motif interactions (DMIs). During the past decade, SLiMs have been studied to find their role in cellular functions such as post-translational modifications, regulatory processes, protein scaffolding, cell cycle progression, cell adhesion, cell signalling and substrate selection for proteasomal degradation. This review provides a comprehensive overview of the current PPI detection techniques and resources, focusing on their relevance to capturing interactions mediated by SLiMs. We also address the challenges associated with capturing DMIs. Moreover, a case study analysing the BioGrid database as a source of DMI prediction revealed significant known DMI enrichment in different PPI detection methods. Overall, it can be said that current high-throughput PPI detection methods can be a reliable source for predicting DMIs.

摘要

蛋白质-蛋白质相互作用(PPIs)通常由一个蛋白质中的短线性基序(SLiMs)和另一个蛋白质中的结构域介导,称为结构域-基序相互作用(DMIs)。在过去的十年中,人们研究了 SLiMs 在细胞功能中的作用,如翻译后修饰、调控过程、蛋白质支架、细胞周期进程、细胞黏附、细胞信号转导和蛋白酶体降解的底物选择。 本综述全面概述了当前的 PPI 检测技术和资源,重点介绍了它们在捕获由 SLiMs 介导的相互作用方面的相关性。我们还解决了与捕获 DMIs 相关的挑战。此外,对作为 DMI 预测来源的 BioGrid 数据库进行的案例研究表明,不同 PPI 检测方法中存在明显的已知 DMI 富集。总的来说,可以说目前的高通量 PPI 检测方法可以成为预测 DMIs 的可靠来源。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验