祖先序列重建以实现阿扎菲龙的生物催化合成
Chang-Hwa Chiang1,2, Ye Wang2, Azam Hussain3
1Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.
Journal of the American Chemical Society
|October 23, 2024
概括
这项研究引入了一种新的生物信息学和祖先序列重建 (ASR) 策略,用于开发优质的生物催化酶. 这种方法加速了酶的发现和优化,使得阿扎菲隆等复杂分子的高效合成成为可能.
科学领域:
- 生物催化和有机合成
- 酶工程
- 生物信息学和计算生物学
背景情况:
- 生物催化提供了强大的合成能力,但因酶基质范围和选择性有限而受到阻碍.
- 开发生物催化步骤往往耗时,资源密集,需要专门的专业知识.
- 精简酶识别和优化对于更广泛的生物催化剂采用至关重要.
研究的目的:
- 提出一种结合生物信息学引导的酶挖掘和祖先序列重建 (ASR) 的策略,用于生物催化酶开发.
- 使用复活的祖先酶来实现阿扎菲隆天然产品的酶选择合成.
- 展示这种方法在加速生物催化剂开发和以目标为导向的合成方面的潜力.
主要方法:
- 在自然产品生物合成途径中同时出现的酶家族的生物信息学导向挖掘.
- 祖先序列重建 (ASR) 以恢复和改进祖先酶的性能.
- 立体选择性合成级联涉及祖先的黄素依赖单氧酶 (FDMO) 和转移酶 (AT).
- 分子对接和动力学模拟以了解酶基质相互作用.
主要成果:
- 通过使用两个祖先酶:FDMO和工程AT (AncAT) 成功合成阿扎菲隆.
- 与其后代相比,ASR产生了更可溶,稳定,散乱和反应的祖先AT (AncAT).
- AncAT表现出增强的反应性,可能是由于祖先的乱交和优化的基质结合几何.
- 开发的级联对现有的化学酶路径具有立体补充性,扩大了对阿扎菲隆酶体的获取.
结论:
- 综合生物信息学和ASR方法有效地复活和优化生物催化酶.
- 这种策略大大减少了生物催化步骤开发所需的时间和资源.
- 该方法提供了一种强大的工具,用于获得针对性合成的优质生物催化剂.
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