Department of Biomedical Sciences, University of Padova, Padova, Italy; Department of Physics and Astronomy, University of Padova, Padova, Italy.
Curr Opin Struct Biol. 2024 Aug;87:102834. doi: 10.1016/j.sbi.2024.102834. Epub 2024 May 16.
Predicting protein interactions in the cellular environment still remains a challenge in the AlphaFold era. Protein interactions, similarly to their structures, sample a continuum from ordered to disordered states, with specific partners in many bound configurations. A multiplicity of binding modes (MBM) enables transition between these states under different cellular conditions. This review focuses on how the cellular environment affects protein interactions, highlighting the molecular mechanisms, biophysical origin, and sequence-based principles of context-dependent, fuzzy interactions. It summarises experimental and computational approaches to address the challenge of interaction heterogeneity and its contribution to a wide range of biological functions. These insights will help in understanding complex cellular processes, involving conversions between protein assembly states, such as from liquid-like droplet state to the amyloid state.
在 AlphaFold 时代,预测细胞环境中的蛋白质相互作用仍然是一个挑战。蛋白质相互作用与它们的结构类似,从有序状态到无序状态连续变化,在许多结合构象中与特定的伴侣结合。多种结合模式 (MBM) 使它们能够在不同的细胞条件下在这些状态之间转换。本文重点讨论了细胞环境如何影响蛋白质相互作用,强调了分子机制、生物物理起源以及基于序列的上下文相关、模糊相互作用的原则。它总结了用于解决相互作用异质性及其对广泛生物学功能贡献的挑战的实验和计算方法。这些见解将有助于理解涉及蛋白质组装状态之间转换的复杂细胞过程,例如从类似液体的液滴状态到淀粉样状态。