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Computational Enzyme Engineering Pipelines for Optimized Production of Renewable Chemicals
Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-240598
- 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- andTo 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.…
Autor(en): | Marc Scherer, Sarel J. Fleishman, Patrik R. Jones, Thomas Dandekar, Elena Bencurova |
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URN: | urn:nbn:de:bvb:20-opus-240598 |
Dokumentart: | Artikel / Aufsatz in einer Zeitschrift |
Institute der Universität: | Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften |
Sprache der Veröffentlichung: | Englisch |
Titel des übergeordneten Werkes / der Zeitschrift (Englisch): | Frontiers in Bioengineering and Biotechnology |
ISSN: | 2296-4185 |
Erscheinungsjahr: | 2021 |
Band / Jahrgang: | 9 |
Aufsatznummer: | 673005 |
Originalveröffentlichung / Quelle: | Frontiers in Bioengineering and Biotechnology (2021) 9:673005. doi: 10.3389/fbioe.2021.673005 |
DOI: | https://doi.org/10.3389/fbioe.2021.673005 |
Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie | |
Freie Schlagwort(e): | biofuel; biomanufacturing; computational; design; engineering; enzyme; metabolism; microbes |
Datum der Freischaltung: | 09.02.2022 |
Datum der Erstveröffentlichung: | 15.06.2021 |
Open-Access-Publikationsfonds / Förderzeitraum 2021 | |
Lizenz (Deutsch): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |