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