Design and evolution of metalloenzymes for efficient and selective CO2 reduction

用于高效和选择性二氧化碳还原的金属酶的设计和进化

• 批准号: 2905484
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2905484
• 关键词: Design; evolution; metalloenzymes; efficient; selective

This project will create de novo enzymes for efficient and selective conversion of CO2 into CO and commodity chemicals, building from a first generation de novo CO2 reductase enzymes developed in the PI lab. Characterization of these de novo enzymes will provide a detailed understanding of the active site features and catalytic mechanisms controlling CO2 reduction and transformation to underpin the design of future generations of catalysts. These ambitions will be achieved by employing state-of-the-art methods in computational enzyme design, structural biology, genetic code expansion, directed evolution and biophysical enzyme characterization.

该项目将创建新酶，从而从PI实验室中开发的第一代DE CO2还原酶建立二氧化碳和商品化学品的有效和选择性转化为CO和商品化学品。这些从头酶的表征将提供详细的了解，以控制二氧化碳减少和转化的活性位点特征和催化机制，以支持后代催化剂的设计。这些野心将通过在计算酶设计，结构生物学，遗传密码扩展，定向进化和生物物理酶表征中采用最先进的方法来实现。