蛋白质氨酸/氨酸激酶药物发现中的分子对接和动态:进展,挑战和未来的前景
Gulam Mustafa Hasan1, Taj Mohammad2, Sobia Zaidi3
1Department of Basic Medical Science, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Frontiers in pharmacology
|November 12, 2025
概括
基于结构的药物发现使用诸如分子对接和动力学 (MD) 等计算方法来发现蛋白质氨酸/氨酸激酶 (STK) 抑制剂. 这些in silico方法正在推动对癌症等疾病的激酶药物发现.
科学领域:
- 生物化学和分子生物学
- 计算化学计算化学
- 药理学 药理学是指药理学的学科.
背景情况:
- 蛋白质氨酸/氨酸激酶 (STKs) 是细胞过程的关键调节者.
- 失调的STK活性与主要的人类疾病有关,包括癌症和神经退行.
- 基于结构的药物发现是开发STK抑制剂的关键策略.
研究的目的:
- 审查最近在应用in silico方法对STK药物发现方面的进展和挑战.
- 讨论分子对接和MD模拟的原理,性能和限制.
- 为突出针对酶向的新兴计算策略.
主要方法:
- 分子对接和分子动力学 (MD) 模拟.
- 与具有约束力的自由能量估计方法的整合.
- 开发自动化MD工作流程和机器学习框架.
- 混合对接-MD管道,以提高吞吐量和可重复性.
主要成果:
- 方法上的进步提高了用于识别STK抑制剂的in silico方法的应用.
- 新兴方向包括PROTACs和全调节器的计算设计.
- 定量数据将计算方法的预测能力和可行性置于环境中.
结论:
- 基于物理的模拟,增强的采样和机器学习的协同作用正在将MD转变为可扩展的定量工具.
- 在 silico 方法正在成为现代酶药物发现的组成部分.
- 计算方法扩大了酶向的范围,超出了传统的ATP竞争性抑制剂.
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