生物催化
化学
生化工程
业务
工程管理
生物技术
纳米技术
工程类
材料科学
有机化学
生物
催化作用
反应机理
作者
Sumire Honda Malca,Peter Stockinger,Nadine Duss,Daniela Milbredt,Hans Iding,Rebecca Buller
出处
期刊:Chimia
日期:2024-03-27
卷期号:78 (3): 108-117
标识
DOI:10.2533/chimia.2024.108
摘要
Excelzyme, an enzyme engineering platform located at the Zurich University of Applied Sciences, is dedicated to accelerating the development of tailored biocatalysts for large-scale industrial applications. Leveraging automation and advanced computational techniques, including machine learning, efficient biocatalysts can be generated in short timeframes. Toward this goal, Excelzyme systematically selects suitable protein scaffolds as the foundation for constructing complex enzyme libraries, thereby enhancing sequence and structural biocatalyst diversity. Here, we describe applied workflows and technologies as well as an industrial case study that exemplifies the successful application of the workflow.
科研通智能强力驱动
Strongly Powered by AbleSci AI