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.
Keywords: Automation; Biocatalysis; Bioinformatics; Enzyme engineering; Machine learning; Pharmaceutical industry.
Copyright 2024 Sumire Honda Malca, Peter Stockinger, Nadine Duss, Daniela Milbredt, Hans Iding, Rebecca Buller. License: This work is licensed under a Creative Commons Attribution 4.0 International License.