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Bridging Microscopic and Macroscopic Mechanisms of p53-MDM2 Binding with Kinetic Network Models

机译:动力学网络模型架桥p53-MDM2结合的微观和宏观机制

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摘要

Under normal cellular conditions, the tumor suppressor protein p53 is kept at low levels in part due to ubiquitination by MDM2, a process initiated by binding of MDM2 to the intrinsically disordered transactivation domain (TAD) of p53. Many experimental and simulation studies suggest that disordered domains such as p53 TAD bind their targets nonspecifically before folding to a tightly associated conformation, but the microscopic details are unclear. Toward a detailed prediction of binding mechanisms, pathways, and rates, we have performed large-scale unbiased all-atom simulations of p53-MDM2 binding. Markov state models (MSMs) constructed from the trajectory data predict p53 TAD binding pathways and on-rates in good agreement with experiment. The MSM reveals that two key bound intermediates, each with a nonnative arrangement of hydrophobic residues in the MDM2 binding cleft, control the overall on-rate. Using microscopic rate information from the MSM, we parameterize a simple four-state kinetic model to 1) determine that induced-fit pathways dominate the binding flux over a large range of concentrations, and 2) predict how modulation of residual p53 helicity affects binding, in good agreement with experiment. These results suggest new ways in which microscopic models of peptide binding, coupled with simple few-state binding flux models, can be used to understand biological function in physiological contexts.
机译:在正常细胞条件下,部分由于MDM2的泛素化,抑癌蛋白p53保持在低水平,MDM2是通过MDM2与p53的固有无序反式激活域(TAD)结合而启动的过程。许多实验和模拟研究表明,无序域(例如p53 TAD)在折叠为紧密相关的构象之前会非特异性地结合其靶标,但微观细节尚不清楚。为了对结合机制,途径和速率进行详细的预测,我们已经进行了p53-MDM2结合的大规模无偏全原子模拟。由轨迹数据构建的马尔可夫状态模型(MSM)可以预测p53 TAD的结合途径和开通率,与实验吻合良好。 MSM揭示了两个关键的结合中间体(每个中间体在MDM2结合裂隙中均具有疏水残基的非天然排列)控制着总的开通率。利用MSM的微观速率信息,我们将简单的四态动力学模型参数化为:1)确定诱导拟合途径在较大浓度范围内主导结合通量,以及2)预测残留p53螺旋度的调控如何影响结合,与实验非常吻合。这些结果提出了肽结合的微观模型与简单的少数状态结合通量模型相结合的新方法,可用于理解生理环境中的生物学功能。

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