Although they have the potential to improve the economic and environmental sustainability of biorefineries, oxidative enzymes have not experienced a complete breakthrough yet in the biobased industries. This is mainly caused by the high cost and long time associated with traditional enzyme engineering methods such as directed evolution. SMARTBOX will develop an advanced computational engineering platform specifically for oxidative enzymes, which can automatically screen for improved enzyme variants with minimal human intervention. This is achieved by implementing several innovations into current computational screening methods, most importantly machine learning, which allows to train the algorithms with experimental results. As this significantly improves computational predictability, the time and costs associated with oxidative enzyme engineering will be reduced 10-fold compared to state-of-the-art (SOTA) directed evolution methods.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 837890