Automated platform optimizes enzyme production using cell-free protein synthesis and AI-driven design
Enzymes are essential to a wide range of industrial processes. As biocatalysts, they play a key role in producing active pharmaceutical ingredients, specialty chemicals and ingredients for cosmetics, besides being vital to the food industry. Enzymes allow many chemical reactions to occur under milder conditions, thereby saving energy and making existing processes more efficient and…
The ZenBio project at the Fraunhofer Institute for Cell Therapy and Immunology aims to revolutionize enzyme production using an automated platform that combines cell-free protein synthesis with artificial intelligence (AI) to design high-performance biocatalysts for industrial applications. Enzymes are crucial in industrial processes, as they enable reactions under milder conditions, saving energy and improving efficiency.
However, developing custom enzymes is a resource-intensive process due to the complex relationships between genetic sequence, structure, and enzymatic function. The project addresses these challenges by generating large volumes of sequence-function data for AI-assisted enzyme design. Researchers produce enzyme variants using cell-free protein synthesis, which allows them to screen many variants in a short time compared to conventional cell-based methods.
By miniaturizing the process and fine-tuning reaction conditions, the team can quickly determine how each variant withstands factors like temperature, pH, or solvents. An AI platform analyzes the resulting data to identify relationships between enzyme sequences and properties, proposing promising new variants for further design cycles.
This approach promises to unlock new manufacturing processes, making enzymes adaptable to various industrial demands and contributing to a more sustainable chemical industry.
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