通过人工智能引导的p53 L1 循环的 conformational 动力学揭示了一个调节DNA结合和癌症热点的化开关
Pablo Navarro Acero1,2, Ming-Hong Hao3, Karan Kapoor3
1Nostrum BioDiscovery, Av. de Josep Tarradellas, 8-10, 3-2, 08029 Barcelona, Spain.
Journal of chemical information and modeling
|January 29, 2026
概括
瘤抑制剂 p53 的作用.
科学领域:
- 分子生物学分子生物学
- 生物物理学的生物物理.
- 计算生物学 计算生物学
背景情况:
- 瘤抑制剂p53对于细胞应激反应和转录调节至关重要.
- 在p53的DNA结合域 (DBD) 中的突变在人类癌症中很常见.
- 在p53 DBD中的L1循环对于DNA识别至关重要,但其动态尚不清楚.
研究的目的:
- 为了阐明p53 DBD L1循环的结构动态.
- 揭示了p53的DNA结合活动的机制.
- 提供有关癌症相关的p53突变和治疗策略的见解.
主要方法:
- 增强的分子动力学模拟.
- 机器学习衍生集体变量用于分析构造变化.
- 识别过渡途径和键网络.
主要成果:
- 确定了一种用于p53DNA结合的新型形态切换机制.
- 两种不同的过渡路径在延伸和缩的形状之间被描述.
- 发现了一个潜在的调节DNA-p53接口的全性机制,解释了R282突变.
- 提出了针对L1循环重新激活口袋的治疗化合物的理由.
结论:
- 这项研究揭示了一种控制p53DNA结合的结构开关机制.
- 这种机制为癌症突变提供了洞察力,并建议针对DNA结合动力学的治疗策略.
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