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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...

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Autores principales: van der Ent, Florian, Skagseth, Susann, Lund, Bjarte A., Sočan, Jaka, Griese, Julia J., Brandsdal, Bjørn O., Åqvist, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
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.
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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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