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Computational design of the temperature optimum of an enzyme reaction
Cold-adapted enzymes are characterized both by a higher catalytic activity at low temperatures and by having their temperature optimum down-shifted, compared to mesophilic orthologs. In several cases, the optimum does not coincide with the onset of protein melting but reflects some other type of ina...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306287/ https://www.ncbi.nlm.nih.gov/pubmed/37379391 http://dx.doi.org/10.1126/sciadv.adi0963 |
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author | van der Ent, Florian Skagseth, Susann Lund, Bjarte A. Sočan, Jaka Griese, Julia J. Brandsdal, Bjørn O. Åqvist, Johan |
author_facet | van der Ent, Florian Skagseth, Susann Lund, Bjarte A. Sočan, Jaka Griese, Julia J. Brandsdal, Bjørn O. Åqvist, Johan |
author_sort | van der Ent, Florian |
collection | PubMed |
description | Cold-adapted enzymes are characterized both by a higher catalytic activity at low temperatures and by having their temperature optimum down-shifted, compared to mesophilic orthologs. In several cases, the optimum does not coincide with the onset of protein melting but reflects some other type of inactivation. In the psychrophilic α-amylase from an Antarctic bacterium, the inactivation is thought to originate from a specific enzyme-substrate interaction that breaks around room temperature. Here, we report a computational redesign of this enzyme aimed at shifting its temperature optimum upward. A set of mutations designed to stabilize the enzyme-substrate interaction were predicted by computer simulations of the catalytic reaction at different temperatures. The predictions were verified by kinetic experiments and crystal structures of the redesigned α-amylase, showing that the temperature optimum is indeed markedly shifted upward and that the critical surface loop controlling the temperature dependence approaches the target conformation observed in a mesophilic ortholog. |
format | Online Article Text |
id | pubmed-10306287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103062872023-06-29 Computational design of the temperature optimum of an enzyme reaction van der Ent, Florian Skagseth, Susann Lund, Bjarte A. Sočan, Jaka Griese, Julia J. Brandsdal, Bjørn O. Åqvist, Johan Sci Adv Physical and Materials Sciences Cold-adapted enzymes are characterized both by a higher catalytic activity at low temperatures and by having their temperature optimum down-shifted, compared to mesophilic orthologs. In several cases, the optimum does not coincide with the onset of protein melting but reflects some other type of inactivation. In the psychrophilic α-amylase from an Antarctic bacterium, the inactivation is thought to originate from a specific enzyme-substrate interaction that breaks around room temperature. Here, we report a computational redesign of this enzyme aimed at shifting its temperature optimum upward. A set of mutations designed to stabilize the enzyme-substrate interaction were predicted by computer simulations of the catalytic reaction at different temperatures. The predictions were verified by kinetic experiments and crystal structures of the redesigned α-amylase, showing that the temperature optimum is indeed markedly shifted upward and that the critical surface loop controlling the temperature dependence approaches the target conformation observed in a mesophilic ortholog. American Association for the Advancement of Science 2023-06-28 /pmc/articles/PMC10306287/ /pubmed/37379391 http://dx.doi.org/10.1126/sciadv.adi0963 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences van der Ent, Florian Skagseth, Susann Lund, Bjarte A. Sočan, Jaka Griese, Julia J. Brandsdal, Bjørn O. Åqvist, Johan Computational design of the temperature optimum of an enzyme reaction |
title | Computational design of the temperature optimum of an enzyme reaction |
title_full | Computational design of the temperature optimum of an enzyme reaction |
title_fullStr | Computational design of the temperature optimum of an enzyme reaction |
title_full_unstemmed | Computational design of the temperature optimum of an enzyme reaction |
title_short | Computational design of the temperature optimum of an enzyme reaction |
title_sort | computational design of the temperature optimum of an enzyme reaction |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306287/ https://www.ncbi.nlm.nih.gov/pubmed/37379391 http://dx.doi.org/10.1126/sciadv.adi0963 |
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