Version 1
: Received: 2 December 2020 / Approved: 3 December 2020 / Online: 3 December 2020 (14:33:54 CET)
Version 2
: Received: 27 January 2021 / Approved: 28 January 2021 / Online: 28 January 2021 (07:51:45 CET)
Marques, S.M.; Planas-Iglesias, J.; Damborsky, J. Web-based tools for computational enzyme design. Curr. Opin. Struct. Biol. 2021, 69, 19-34
Marques, S.M.; Planas-Iglesias, J.; Damborsky, J. Web-based tools for computational enzyme design. Curr. Opin. Struct. Biol. 2021, 69, 19-34
Marques, S.M.; Planas-Iglesias, J.; Damborsky, J. Web-based tools for computational enzyme design. Curr. Opin. Struct. Biol. 2021, 69, 19-34
Marques, S.M.; Planas-Iglesias, J.; Damborsky, J. Web-based tools for computational enzyme design. Curr. Opin. Struct. Biol. 2021, 69, 19-34
Abstract
Enzymes are on high demand for very diverse biotechnological applications. However, natural biocatalysts often need to be engineered for fine-tuning their properties towards the end applications, such as the activity, selectivity, stability to temperature or co-solvents, and solubility. Computational methods are increasingly used in this task, providing predictions that narrow down the space of possible mutations significantly and can enormously reduce the experimental burden. Many computational tools are available as web-based platforms, making them accessible to non-expert users. These platforms are typically user-friendly, contain walk-throughs, and do not require deep expertise and installations. Here we describe some of the most recent outstanding web-tools for enzyme engineering and formulate future perspectives in this field.
Keywords
web server; rational design; functionalizing enzymes; enzyme discovery; user-friendly tools
Subject
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
