在计算设计的 (逆-) 酶的进化轨迹上优化酶机制
Cathleen Zeymer1, Reinhard Zschoche1, Donald Hilvert1
1Laboratory of Organic Chemistry, ETH Zürich , 8093 Zürich, Switzerland.
Journal of the American Chemical Society
|August 8, 2017
概括
计算的酶设计产生了低活性的 (逆-) 酶. 实验室进化通过改变速度限制步骤并引入催化四旋转来改善质子转移,显著提高了其性能.
科学领域:
- 生物催化和酶工程
- 计算生物学
- 蛋白质进化
背景情况:
- 使用计算设计和实验优化创建De novo生物催化剂.
- 最初通过计算设计的 (逆) 酶RA95显示了适度的活动.
- 广泛的实验室进化提高了RA95的活性10倍,用于β-基的合成和裂变.
研究的目的:
- 研究计算机设计的 (逆) 酶RA95的进化轨迹.
- 确定RA95变体反应途径中的速度限制步骤.
- 了解累积突变如何影响实验室进化过程中的动力机制.
主要方法:
- 代表性RA95变种的动态分析.
- 探测多步反应路径的单个步骤.
- 与自然体的动力和结构数据进行比较.
主要成果:
- 在设计的酶中,限制速率的步骤从C-C键裂变转移到产品释放的进化变体中.
- 希夫基和胺中间体的相互转化成为高活性变体中最慢的步骤.
- 一个晚期的催化增强了素的反应性和质子的混合,加速了希夫基的形成和水解.
结论:
- 实验室进化显著优化了计算设计的 (逆) 酶RA95的动力机制.
- 在进化酶中观察到的增强活性和改变速率限制步骤中,催化四级是至关重要的.
- 这些发现为精制计算酶设计和实验室进化策略提供了洞察力.
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