Computational Enzyme Design at Zymvol
- PMID: 34813068
- DOI: 10.1007/978-1-0716-1826-4_13
Computational Enzyme Design at Zymvol
Abstract
Directed evolution is the most recognized methodology for enzyme engineering. The main drawback resides in its random nature and in the limited sequence exploration; both require screening of thousands (if not millions) of variants to achieve a target function. Computer-driven approaches can limit laboratorial screening to a few hundred candidates, enabling and accelerating the development of industrial enzymes. In this book chapter, the technology adopted at Zymvol is described. An overview of the current development and future directions in the company is also provided.
Keywords: Biocatalysis; Bioinformatics; Computational enzyme design; Enzyme engineering; Machine learning.
© 2022. The Author(s).
References
-
- Itoh T, Hanefeld U (2017) Enzyme catalysis in organic synthesis. Green Chem 19:331–332 - DOI
-
- Sheldon RA, Woodley JM (2018) Role of biocatalysis in sustainable chemistry. Chem Rev 118:801–838 - DOI
-
- Romero PA, Arnold FH (2009) Exploring protein fitness landscapes by directed evolution. Nat Rev Mol Cell Biol 10:866–876 - DOI
-
- Yang KK, Wu Z, Arnold FH (2019) Machine-learning-guided directed evolution for protein engineering. Nat Methods 16:687–694 - DOI
-
- Chica RA, Doucet N, Pelletier JN (2005) Semi-rational approaches to engineering enzyme activity: combining the benefits of directed evolution and rational design. Curr Opin Biotechnol 16:378–384 - DOI
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