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Computational design of the temperature optimum of an enzyme reaction

Authors :
van der Ent, Florian
Skagseth, Susann
Lund, Bjarte A.
Socan, Jaka
Griese, Julia J.
Brandsdal, Bjorn O.
Åqvist, Johan
van der Ent, Florian
Skagseth, Susann
Lund, Bjarte A.
Socan, Jaka
Griese, Julia J.
Brandsdal, Bjorn O.
Åqvist, Johan
Publication Year :
2023

Abstract

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 a-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 a-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.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1399992595
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1126.sciadv.adi0963