September 16, 2025ACS Central ScienceOpen Access

Of Revolutions and Roadblocks: The Emerging Role of Machine Learning in Biocatalysis

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Outlook highlights machine learning applications in enzyme design and discovery, suggesting key improvements and solutions.

Machine learning significantly enhances enzyme development efficiency and effectiveness, and it addresses complex problems in biocatalysis.
In enzyme discovery, ML applications have led to the identification of novel enzymes and improved designs that were previously unattainable.
A combination of ML with laboratory automation and high-throughput screening accelerates processes like DNA synthesis and sequencing.
Identified barriers include resistance to adopting ML workflows in biocatalysis and a need for enhanced interdisciplinary collaboration.

Vornholt et al. (2025) studied this question.

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September 16, 2025ACS Central ScienceOpen Access

View Full Paper

Ask AI

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Authors

Outlook highlights machine learning applications in enzyme design and discovery, suggesting key improvements and solutions.

Machine learning significantly enhances enzyme development efficiency and effectiveness, and it addresses complex problems in biocatalysis.
In enzyme discovery, ML applications have led to the identification of novel enzymes and improved designs that were previously unattainable.
A combination of ML with laboratory automation and high-throughput screening accelerates processes like DNA synthesis and sequencing.
Identified barriers include resistance to adopting ML workflows in biocatalysis and a need for enhanced interdisciplinary collaboration.

Vornholt et al. (2025) studied this question.

View Full Paper

Ask AI

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