Computational Enzyme Engineering Pipelines for Optimized Production of Renewable Chemicals

Frontiers in Bioengineering and Biotechnology

Marc Scherer¹  Thomas Dandekar¹  Elena Bencurova¹  Sarel J. Fleishman²  Patrik R. Jones³ 

[1] Department of Bioinformatics, Julius-Maximilians University of Würzburg, Würzburg, Germany;Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel;Department of Life Sciences, Imperial College London, London, United Kingdom;

关键词: computational;    enzyme;    engineering;    design;    biomanufacturing;    biofuel;   

DOI  :  10.3389/fbioe.2021.673005

来源: DOAJ

【 摘 要 】

To enable a sustainable supply of chemicals, novel biotechnological solutions are required that replace the reliance on fossil resources. One potential solution is to utilize tailored biosynthetic modules for the metabolic conversion of CO2 or organic waste to chemicals and fuel by microorganisms. Currently, it is challenging to commercialize biotechnological processes for renewable chemical biomanufacturing because of a lack of highly active and specific biocatalysts. As experimental methods to engineer biocatalysts are time- and cost-intensive, it is important to establish efficient and reliable computational tools that can speed up the identification or optimization of selective, highly active, and stable enzyme variants for utilization in the biotechnological industry. Here, we review and suggest combinations of effective state-of-the-art software and online tools available for computational enzyme engineering pipelines to optimize metabolic pathways for the biosynthesis of renewable chemicals. Using examples relevant for biotechnology, we explain the underlying principles of enzyme engineering and design and illuminate future directions for automated optimization of biocatalysts for the assembly of synthetic metabolic pathways.

【 授权许可】

Unknown