Alsulami Ali F
Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Int J Mol Sci. 2025 Sep 18;26(18):9135. doi: 10.3390/ijms26189135.
The tumour suppressor protein p53 plays a central role in safeguarding genomic integrity through the regulation of DNA repair, cell cycle arrest, and apoptosis. Mutations in , particularly within its DNA-binding domain, are among the most frequent genetic alterations in human cancers and are strongly associated with chemoresistance and poor prognosis. In this study, all TP53 mutations reported in the COSMIC database were systematically mapped onto all experimentally resolved TP53 three-dimensional structures available in the Protein Data Bank, supplemented with AlphaFold-predicted models to achieve full structural coverage. Mutations were classified according to their structural context-protein core, interface regions, ligand- and zinc-binding sites, and intrinsically disordered regions-and evaluated using complementary sequence- and structure-based predictive tools. The analysis revealed distinct mutational hotspots, differential distribution across structural regions, and context-dependent effects on stability and DNA-binding capacity. Notably, a subset of mutations exhibited consistent predictions of high destabilisation across all structural contexts, underscoring their potential as drivers of functional inactivation. By providing a comprehensive structural map of TP53 alterations, this work offers a valuable resource for understanding mutation-specific mechanisms of p53 dysfunction and for guiding the development of precision therapeutic strategies aimed at restoring its tumour-suppressive functions.
肿瘤抑制蛋白p53通过调节DNA修复、细胞周期停滞和凋亡在维护基因组完整性方面发挥核心作用。TP53的突变,尤其是其DNA结合域内的突变,是人类癌症中最常见的基因改变之一,并且与化疗耐药性和不良预后密切相关。在本研究中,COSMIC数据库中报告的所有TP53突变都被系统地映射到蛋白质数据库中所有实验解析的TP53三维结构上,并辅以AlphaFold预测模型以实现完整的结构覆盖。突变根据其结构背景进行分类——蛋白质核心、界面区域、配体和锌结合位点以及内在无序区域——并使用基于序列和结构的互补预测工具进行评估。分析揭示了不同的突变热点、跨结构区域的差异分布以及对稳定性和DNA结合能力的上下文依赖性影响。值得注意的是,一部分突变在所有结构背景下都表现出一致的高度去稳定化预测,突出了它们作为功能失活驱动因素的潜力。通过提供TP53改变的全面结构图,这项工作为理解p53功能障碍的突变特异性机制以及指导旨在恢复其肿瘤抑制功能的精准治疗策略的开发提供了宝贵资源。