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Excelzyme: A Swiss University-Industry Collaboration for Accelerated Biocatalyst Development
Sumire Honda Malca1, Peter Stockinger2, Nadine Duss3
1Competence Center for Biocatalysis, Institute of Chemistry and Biotechnology, Zurich University of Applied Sciences, Einsiedlerstrasse 31, CH-8820 Wädenswil, Switzerland. hond@zhaw.ch.
Chimia
|March 28, 2024
Summary
Excelzyme accelerates biocatalyst development using automation and machine learning for industrial applications. This enzyme engineering platform enhances diversity through protein scaffold selection and library construction.
Area of Science:
- Biocatalysis and enzyme engineering
- Protein engineering for industrial applications
- Computational biology and machine learning in biotechnology
Background:
- Industrial biocatalysis requires efficient and tailored enzymes.
- Traditional enzyme development can be time-consuming and resource-intensive.
- The Excelzyme platform aims to streamline biocatalyst generation.
Purpose of the Study:
- To describe the workflows and technologies employed by the Excelzyme platform.
- To showcase the application of enzyme engineering for industrial needs.
- To demonstrate the effectiveness of automated and computational approaches in biocatalyst development.
Main Methods:
- Systematic selection of protein scaffolds for enzyme library construction.
- Utilization of automation and machine learning for rapid enzyme engineering.
- Development of diverse enzyme libraries with enhanced sequence and structural properties.
Main Results:
- Successful generation of tailored biocatalysts through applied workflows.
- Demonstration of accelerated enzyme development timelines.
- Validation of the platform's efficacy via an industrial case study.
Conclusions:
- The Excelzyme platform effectively accelerates the development of industrial biocatalysts.
- Automation and machine learning are key enablers for efficient enzyme engineering.
- The described workflow provides a robust approach for creating diverse and tailored enzyme libraries.
Keywords:
AutomationBiocatalysisBioinformaticsEnzyme engineeringMachine learningPharmaceutical industryMore Related Videos
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