Department of Physics, State Key Laboratory of Surface physics, and Key Laboratory for Computational Physical Science (Ministry of Education), Fudan University, Shanghai 200433, People's Republic of China.
J Phys Chem B. 2021 Sep 16;125(36):10138-10148. doi: 10.1021/acs.jpcb.1c05638. Epub 2021 Aug 17.
The p53 protein plays active roles in the physiological regulation of cell cycle as well as in cancer developments. In more than half of human cancers, the protein is inactivated by mutations located primarily in its DNA-binding domain (DBD), and some mutations located in the β-sandwich region of DBD are reported to decrease p53-DNA binding affinities. To understand the long-range correlation between p53 β-sandwich and DNA, and the allosteric mechanism of β-sandwich mutations in the disruption of p53-DNA interactions, we first identify three regions with a strong correlation with DNA based on microsecond molecular dynamics (MD) simulations of wild-type p53-DNA complex and then perform multiple MD simulations on four cancer-related mutants L145Q, P151S, Y220C, and G266R, which are located in these three regions. Our simulations show that these mutations allosterically destabilize the structural stability of the DNA-binding groove in p53 and disrupt the p53-DNA interactions. Network analyses reveal optimal correlation paths through which the mutation-induced allosteric signal passes to DNA, and the disturbance effect of these mutations on the global connectivity and dynamical correlation of the p53-DNA complex. This work paves the way for the in-depth understanding of the mutation-induced loss in p53's DNA-recognition ability and the pathological mechanism of cancer development.
p53 蛋白在细胞周期的生理调节以及癌症发展中发挥着积极作用。在超过一半的人类癌症中,该蛋白通过主要位于其 DNA 结合域(DBD)的突变失活,并且据报道一些位于 DBD 的β-夹层区域的突变会降低 p53-DNA 结合亲和力。为了了解 p53 β-夹层与 DNA 之间的长程相关性,以及 β-夹层突变在破坏 p53-DNA 相互作用中的变构机制,我们首先基于野生型 p53-DNA 复合物的微秒分子动力学(MD)模拟,确定了三个与 DNA 具有强相关性的区域,然后对四个癌症相关的突变体 L145Q、P151S、Y220C 和 G266R 进行了多次 MD 模拟,这些突变体位于这三个区域中。我们的模拟表明,这些突变体变构地破坏了 p53 中 DNA 结合槽的结构稳定性并破坏了 p53-DNA 相互作用。网络分析揭示了最佳相关路径,突变诱导的变构信号通过该路径传递到 DNA,以及这些突变对 p53-DNA 复合物的全局连通性和动力学相关性的干扰效应。这项工作为深入了解突变引起的 p53 丧失 DNA 识别能力以及癌症发展的病理机制铺平了道路。