What question did this study set out to answer?

The aim is to explore innovative enzyme and material designs to enhance biocatalysis and address challenges.

November 1, 2025ChemistrySelectOpen Access

Outlook: Emerging Enzyme–Material Designs for Advanced Biocatalysis

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Perspective highlights advances in machine learning to improve biocatalysis efficiency and sustainability using nanoparticles.

The aim is to explore innovative enzyme and material designs to enhance biocatalysis and address challenges.
Discussed advancements in enzyme engineering, material design, and computational chemistry.
Explored the role of machine learning in predicting enzyme-material interactions and quantifying effects.
Proposed a closed-loop framework integrating enzyme and material co-design.
Identified the significance of immobilization for enhancing enzyme stability and reusability.
Highlighted the need for tunable environments using nanoparticles and solid supports.
Demonstrated the potential of machine learning in optimizing biocatalyst development.

Nedyalkova et al. (2025) studied this question.

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