Department of Protein Evolution, Max Planck Institute for Biology, Tübingen, Germany; Department of Computer Science, University of Tübingen, WSI/ZBIT, Sand 14, 72076 Tübingen, Germany; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Sand 14, 72076 Tübingen, Germany.
Department of Protein Evolution, Max Planck Institute for Biology, Tübingen, Germany.
Structure. 2022 Apr 7;30(4):462-475. doi: 10.1016/j.str.2022.02.004. Epub 2022 Feb 25.
Proteins are central to all of the processes of life. For their activity, they almost invariably need to interact with other macromolecules, be they nucleic acids, membranes, glycans, or other proteins. The interaction between proteins is indeed the most common mode of macromolecular interaction underpinning living systems. To understand these systems at a molecular level, it is therefore essential to identify and characterize their constituent protein-protein interactions. Despite an unprecedented growth in our knowledge of complete proteomes across all domains of life, both at the sequence level and increasingly at the structure level, the inherently low accuracy and molecular resolution of many techniques have made the characterization of protein-protein interactions one of the grand challenges of molecular biology. In this review, we survey both computational and experimental techniques for the medium- to high-throughput characterization of protein-protein interactions and discuss the potential of integrative approaches, given recent advances in sequence analysis and structure prediction.
蛋白质是生命过程的核心。为了发挥其活性，它们几乎总是需要与其他大分子相互作用，这些大分子可能是核酸、膜、聚糖或其他蛋白质。事实上，蛋白质之间的相互作用是构成生命系统的最常见的大分子相互作用模式。因此，要在分子水平上理解这些系统，就必须识别和表征其组成的蛋白质-蛋白质相互作用。尽管我们在生命所有领域的完整蛋白质组学方面的知识都有了前所未有的增长，无论是在序列水平上还是在结构水平上，许多技术的固有低准确性和分子分辨率使得蛋白质-蛋白质相互作用的表征成为分子生物学的重大挑战之一。在这篇综述中，我们调查了用于中高通量表征蛋白质-蛋白质相互作用的计算和实验技术，并讨论了鉴于序列分析和结构预测方面的最新进展，整合方法的潜力。
