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用于模拟磷酸化无序蛋白质的粗粒度模型。

A coarse-grained model for simulations of phosphorylated disordered proteins.

作者信息

Rauh Arriën Symon, Hedemark Gustav Stausbøll, Tesei Giulio, Lindorff-Larsen Kresten

机构信息

Structural Biology and NMR Laboratory, The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark.

Structural Biology and NMR Laboratory, The Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Copenhagen, Denmark.

出版信息

Biophys J. 2025 Jul 7. doi: 10.1016/j.bpj.2025.07.001.

Abstract

Protein phosphorylation is a common and essential post-translational modification that affects biochemical properties and regulates biological activities. Phosphorylation is particularly common for intrinsically disordered proteins and can significantly modulate their function and potential to interact with binding partners. To understand the biophysical origins of how phosphorylation of disordered proteins influences their function, it is valuable to investigate how the modifications lead to changes in their conformational ensembles. Here, we have used a top-down data-driven approach to develop a coarse-grained molecular dynamics model compatible with the CALVADOS protein simulation model to study the effects of serine and threonine phosphorylation on the global structural properties of disordered proteins. We parameterize the model using experimental data on the effects of phosphorylation on global dimensions. By comparing with baseline models and simulations using the phosphomimetics aspartate and glutamate, we show that the effect of phosphorylation on the global dimensions of disordered proteins is mostly driven by the additional charge. We envisage that our model can be applied to study the effects of phosphorylation of disordered proteins at the proteome scale as well as to study the important roles of protein phosphorylation on phase separation.

摘要

蛋白质磷酸化是一种常见且重要的翻译后修饰,它会影响生物化学性质并调节生物活性。磷酸化在内在无序蛋白质中尤为常见,并且能够显著调节其功能以及与结合伴侣相互作用的潜力。为了理解无序蛋白质的磷酸化如何影响其功能的生物物理根源,研究这些修饰如何导致其构象集合的变化是很有价值的。在这里,我们采用了一种自上而下的数据驱动方法,来开发一个与CALVADOS蛋白质模拟模型兼容的粗粒度分子动力学模型,以研究丝氨酸和苏氨酸磷酸化对无序蛋白质全局结构性质的影响。我们使用关于磷酸化对全局尺寸影响的实验数据对模型进行参数化。通过与使用磷酸模拟物天冬氨酸和谷氨酸的基线模型及模拟进行比较,我们表明磷酸化对无序蛋白质全局尺寸的影响主要由额外电荷驱动。我们设想我们的模型可应用于在蛋白质组规模上研究无序蛋白质磷酸化的影响,以及研究蛋白质磷酸化在相分离中的重要作用。

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