Enzyme Engineering

Enzyme optimisation for challenging applications

For especially challenging transformations that require enzyme engineering, Johnson Matthey approaches enzyme optimization through the deployment of novel computational techniques to reduce the time taken for evolution. We use our proprietary tools (SmartScaffold™ [1]) and machine learning-driven predictive models that utilize extensive in-house process-performance data to deliver advanced solutions. 

Enzyme library design to screening

We leverage high-throughput screening and digital workflows for efficient library design and creation. Using automated equipment, we screen thousands of variants under process-like conditions, ensuring practical relevance. After the initial screening, we estimate the rounds of enzyme engineering needed for an efficient process, using comprehensive data to iteratively refine candidates. This approach accelerates the development of high-performance enzymes tailored to your specific needs. 

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