Protein Engineering for Industrial Biocatalysis: Principles, Approaches, and Lessons from Engineered PETases

Protein engineering has emerged as a transformative field in industrial biotechnology, enabling the optimization of enzymes to meet stringent industrial demands for stability, specificity, and efficiency. This review explores the principles and methodologies of protein engineering, emphasizing rational design, directed evolution, semi-rational approaches, and the recent integration of machine learning. These strategies have significantly enhanced enzyme performance, even rendering engineered PETase industrially relevant. Insights from engineered PETases underscore the potential of protein engineering to tackle environmental challenges, such as advancing sustainable plastic recycling, paving the way for innovative solutions in industrial biocatalysis. Future directions point to interdisciplinary collaborations and the integration of emerging machine learning technologies to revolutionize enzyme design.

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Publication Details

Journal
Catalysts
Published
2025-02-04
DOI
https://doi.org/10.3390/catal15020147
Citations
18
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
18.82

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article

Protein Engineering for Industrial Biocatalysis: Principles, Approaches, and Lessons from Engineered PETases

Christina Ferousi, Evangelos Topakas, Konstantinos Grigorakis
18 citations
Catalysts
Peptidase Inhibition and Analysis
18.82
article

Protein Engineering for Industrial Biocatalysis: Principles, Approaches, and Lessons from Engineered PETases

Christina Ferousi, Evangelos Topakas, Konstantinos Grigorakis
article en
18 citations

Abstract

Protein engineering has emerged as a transformative field in industrial biotechnology, enabling the optimization of enzymes to meet stringent industrial demands for stability, specificity, and efficiency. This review explores the principles and methodologies of protein engineering, emphasizing rational design, directed evolution, semi-rational approaches, and the recent integration of machine learning. These strategies have significantly enhanced enzyme performance, even rendering engineered PETase industrially relevant. Insights from engineered PETases underscore the potential of protein engineering to tackle environmental challenges, such as advancing sustainable plastic recycling, paving the way for innovative solutions in industrial biocatalysis. Future directions point to interdisciplinary collaborations and the integration of emerging machine learning technologies to revolutionize enzyme design.

CatalystsVol. 15(2)
National Technical University of Athens (GR)
Hellenic Foundation for Research and Innovation
Openalex Percentile: Top 1%
Peptidase Inhibition and Analysis
18.82
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