细胞质酸脱酶的热适应通过深度学习和同进化分析揭示
Divyanshu Shukla1, Jonathan Martin2, Faruck Morcos2,3,4
1Bioinformatics and Computational Biology Program, Iowa State University, Ames, Iowa 50011, United States.
Journal of chemical theory and computation
|March 13, 2025
概括
蛋白质进化为不同的温度塑造了酶. 这项研究揭示了细胞质酸脱酶 (cMDH) 的序列变化和灵活性如何驱动热适应,为蛋白质设计提供了洞察力.
科学领域:
- 生物化学 生物化学
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- 在不同的热环境中,酶的功能和稳定性至关重要.
- 涉及序列变化和动态的蛋白质适应机制尚未完全理解.
- 细胞质酸脱酶 (cMDH) 是研究热适应的一个模型酶,因为它的灵活性和广泛分布.
研究的目的:
- 研究如何序列变化和结构动力学共同控制蛋白质的稳定性和功能在不同的温度.
- 揭示细胞质酸脱酶 (cMDH) 热适应的基础机制.
- 开发一个计算框架,用于预测和设计具有优化热性能的蛋白质.
主要方法:
- 与变异自编码器 (VAE) 集成共同进化模型,以创建cMDH序列空间的潜在生成景观 (LGL).
- 利用直接合分析 (DCA) 进行适应性预测和探索突变途径.
- 使用AlphaFold进行结构预测和分子动力学模拟,以分析疏水性相互作用和结构灵活性.
主要成果:
- 确定了一个定量顺序参数:特定区域之间的疏水接触的比率预测了热稳定性.
- 阐明了水相互作用和形状灵活性在cMDH正体器的热适应中的作用.
- 产生了cMDH序列空间的全面景观,揭示了适应性突变路径.
结论:
- 该研究提供了对蛋白质在序列和结构层面的热适应的机制性见解.
- 综合计算方法为酶进化提供了独特的视角.
- 这些发现为合理设计具有增强热稳定性和功能的蛋白质铺平了道路.
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