在人工酶中预测远端热点的计算管道
Mahdi Hassankalhori1, Fabrizio Casilli2, Ferran Sancho3
1Zymvol Biomodeling, C/ Pau Claris, 94, 3B, 08010 Barcelona, Spain; Departament d'Enginyeria Química (DEQ), EEBE, Universitat Politècnica de Catalunya (UPC), C/ Eduard Maristany, 10-14, Ed. I2, 08019 Barcelona, Spain.
International journal of biological macromolecules
|July 25, 2025
概括
本研究介绍了使用远端突变的酶工程计算工作流. 一个单一的突变 (Y27H) 增强了酶活性和稳定性,证明了这种策略的潜力.
科学领域:
- 生物化学 生物化学
- 计算生物学 计算生物学
- 蛋白质工程是指蛋白质工程.
背景情况:
- 远端突变为酶工程提供了一个有前途的途径,通过影响蛋白质功能通过全效应.
- 乳球菌多药耐药性调节器 (LmrR) 架构是开发人工酶的多功能平台.
研究的目的:
- 提出一个开源的计算工作流,用于识别和评估远端突变对酶功能的影响.
- 用基于 LmrR 脚手架的人工酶来证明工作流的有效性.
主要方法:
- 结合残留物网络分析,全性路径映射和用于功能站点建模的机器学习.
- 基于对蛋白质动态的预测影响,对远端突变部位的优先考虑.
- 系统地探索单点和双点突变.
主要成果:
- 鉴定了一种单点突变 (Y27H),该突变使酶活性增加20%,热稳定性增加12.5°C.
- 双重突变者取得了进一步的改进,活动增加了多达50%,温度稳定性增加了22.7°C.
- 计算工作流成功指导了有益的远端突变的识别.
结论:
- 距离突变代表了增强酶活性和稳定性的强大策略.
- 开发的计算工作流提供了一种有效的方法来指导酶设计工作.
- 该研究提供了一个全面的协议,以促进其他研究人员应用这一策略.
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