Hoff S E, Zinke M, Izadi-Pruneyre N, Bonomi M
Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Structural Bioinformatics Unit, Paris, France.
Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Bacterial Transmembrane Systems Unit, Paris, France. Electronic address: https://twitter.com/ZinkeMaximilian.
Curr Opin Struct Biol. 2024 Feb;84:102746. doi: 10.1016/j.sbi.2023.102746. Epub 2023 Dec 14.
Characterizing structural and dynamic properties of proteins and large macromolecular assemblies is crucial to understand the molecular mechanisms underlying biological functions. In the field of structural biology, no single method comprehensively reveals the behavior of biological systems across various spatiotemporal scales. Instead, we have a versatile toolkit of techniques, each contributing a piece to the overall puzzle. Integrative structural biology combines different techniques to create accurate and precise multi-scale models that expand our understanding of complex biological systems. This review outlines recent advancements in computational and experimental methods in structural biology, with special focus on recent Artificial Intelligence techniques, emphasizes integrative approaches that combine different types of data for precise spatiotemporal modeling, and provides an outlook into future directions of this field.
表征蛋白质和大型大分子组装体的结构和动态特性对于理解生物功能背后的分子机制至关重要。在结构生物学领域，没有一种单一的方法能够全面揭示生物系统在各种时空尺度上的行为。相反，我们拥有一套多功能的技术工具包，每种技术都为整个难题贡献了一部分。整合结构生物学将不同的技术结合起来，以创建准确而精确的多尺度模型，从而扩展我们对复杂生物系统的理解。本综述概述了结构生物学中计算和实验方法的最新进展，特别关注近期的人工智能技术，强调结合不同类型数据进行精确时空建模的整合方法，并展望了该领域的未来发展方向。
