通过弹性网络模型和神经关系推断分子动力学模拟神经关系推断SHP2的全质激活机制的研究
Ling Liu1,2, Yan Cheng3, Zhigang Zhang2
1Department of Thoracic Oncology, Affiliated Cancer Hospital, Guizhou Medical University, Guiyang, China. ouyangww73@163.com.
Physical chemistry chemical physics : PCCP
|August 25, 2023
概括
这项研究揭示了SHP2酸酶在癌症免疫逃生中的全性机制. 了解这种SHP2通路有助于设计新的癌症抑制剂,用于与PD-1抗体结合治疗.
科学领域:
- 生物化学和结构生物学
- 计算生物学和生物信息学
- 癌症免疫学 癌症免疫学
背景情况:
- SHP2 (PTPN11) 是一种蛋白质氨酸酸酶,对PD-1/PD-L1介导的瘤免疫逃生至关重要.
- SHP2经历了显著的结构变化,使其成为癌症治疗的有吸引力的目标.
- 尚不完全了解SHP2与PD-1合蛋白结合的精确全性机制,这阻碍了基于结构的抑制剂的开发.
研究的目的:
- 为了阐明SHP2在响应PD-1细胞内聚结合时的全性机制.
- 在SHP2.2中识别潜在的全信号通路.
- 为设计针对癌症治疗的SHP2的新型全抑制剂提供结构基础.
主要方法:
- 构建SHP2.2的开放式和封闭式结构模型.
- 使用弹性网络模型对蛋白质动态的研究:高斯网络模型 (GNM),无otropic网络模型 (ANM) 和自适应ANM (aANM).
- 使用神经关系推断分子动力学 (NRI-MD) 模拟与人工智能 (AI) 进行全局信号通路分析.
主要成果:
- 在N-SH2,C-SH2和PTP域中观察到明显的动态分区,N-SH2 / C-SH2区域与PTP相比刚性旋转.
- 特定的pY223与N-SH2的结合导致了D'E循环的结构变化.
- C-SH2域充当支点,促进N-SH2从PTP活性部位转移110°.
- 通过NRI-MD.通过NRI-MD.确定了一个潜在的全信号通路 (R220-R138-T108-R32).
结论:
- 已提出一种可信的SHP2对PD-1聚胺结合的反应的全性机制.
- 这些发现为新型SHP2-向全抑制剂的合理设计提供了关键的见解.
- 这项研究预计将在癌症治疗中促进SHP2抑制剂和PD-1单克隆抗体之间的临床协同作用.
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