TY  - JOUR
A1  - Scherer, Marc
A1  - Fleishman, Sarel J.
A1  - Jones, Patrik R.
A1  - Dandekar, Thomas
A1  - Bencurova, Elena
T1  - Computational Enzyme Engineering Pipelines for Optimized Production of Renewable Chemicals
T2  - Frontiers in Bioengineering and Biotechnology
N2  - 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.
KW  - computational
KW  - enzyme
KW  - engineering
KW  - design
KW  - biomanufacturing
KW  - biofuel
KW  - microbes
KW  - metabolism
Y1  - 2021
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/24059
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-240598
SN  - 2296-4185
VL  - 9
ER  -