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AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design

[Image: see text] With advances in protein structure predictions, the number of available high-quality structures has increased dramatically. In light of these advances, structure-based enzyme engineering is expected to become increasingly important for optimizing biocatalysts for industrial process...

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Autores principales: Roda, Sergi, Terholsen, Henrik, Meyer, Jule Ruth Heike, Cañellas-Solé, Albert, Guallar, Victor, Bornscheuer, Uwe, Kazemi, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068746/
https://www.ncbi.nlm.nih.gov/pubmed/36944360
http://dx.doi.org/10.1021/acs.jpcb.2c07091
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author Roda, Sergi
Terholsen, Henrik
Meyer, Jule Ruth Heike
Cañellas-Solé, Albert
Guallar, Victor
Bornscheuer, Uwe
Kazemi, Masoud
author_facet Roda, Sergi
Terholsen, Henrik
Meyer, Jule Ruth Heike
Cañellas-Solé, Albert
Guallar, Victor
Bornscheuer, Uwe
Kazemi, Masoud
author_sort Roda, Sergi
collection PubMed
description [Image: see text] With advances in protein structure predictions, the number of available high-quality structures has increased dramatically. In light of these advances, structure-based enzyme engineering is expected to become increasingly important for optimizing biocatalysts for industrial processes. Here, we present AsiteDesign, a Monte Carlo-based protocol for structure-based engineering of active sites. AsiteDesign provides a framework for introducing new catalytic residues in a given binding pocket to either create a new catalytic activity or alter the existing one. AsiteDesign is implemented using pyRosetta and incorporates enhanced sampling techniques to efficiently explore the search space. The protocol was tested by designing an alternative catalytic triad in the active site of Pseudomonas fluorescens esterase (PFE). The designed variant was experimentally verified to be active, demonstrating that AsiteDesign can find alternative catalytic triads. Additionally, the AsiteDesign protocol was employed to enhance the hydrolysis of a bulky chiral substrate (1-phenyl-2-pentyl acetate) by PFE. The experimental verification of the designed variants demonstrated that F158L/F198A and F125A/F158L mutations increased the hydrolysis of 1-phenyl-2-pentyl acetate from 8.9 to 66.7 and 23.4%, respectively, and reversed the enantioselectivity of the enzyme from (R) to (S)-enantiopreference, with 32 and 55% enantiomeric excess (ee), respectively.
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spelling pubmed-100687462023-04-04 AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design Roda, Sergi Terholsen, Henrik Meyer, Jule Ruth Heike Cañellas-Solé, Albert Guallar, Victor Bornscheuer, Uwe Kazemi, Masoud J Phys Chem B [Image: see text] With advances in protein structure predictions, the number of available high-quality structures has increased dramatically. In light of these advances, structure-based enzyme engineering is expected to become increasingly important for optimizing biocatalysts for industrial processes. Here, we present AsiteDesign, a Monte Carlo-based protocol for structure-based engineering of active sites. AsiteDesign provides a framework for introducing new catalytic residues in a given binding pocket to either create a new catalytic activity or alter the existing one. AsiteDesign is implemented using pyRosetta and incorporates enhanced sampling techniques to efficiently explore the search space. The protocol was tested by designing an alternative catalytic triad in the active site of Pseudomonas fluorescens esterase (PFE). The designed variant was experimentally verified to be active, demonstrating that AsiteDesign can find alternative catalytic triads. Additionally, the AsiteDesign protocol was employed to enhance the hydrolysis of a bulky chiral substrate (1-phenyl-2-pentyl acetate) by PFE. The experimental verification of the designed variants demonstrated that F158L/F198A and F125A/F158L mutations increased the hydrolysis of 1-phenyl-2-pentyl acetate from 8.9 to 66.7 and 23.4%, respectively, and reversed the enantioselectivity of the enzyme from (R) to (S)-enantiopreference, with 32 and 55% enantiomeric excess (ee), respectively. American Chemical Society 2023-03-21 /pmc/articles/PMC10068746/ /pubmed/36944360 http://dx.doi.org/10.1021/acs.jpcb.2c07091 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Roda, Sergi
Terholsen, Henrik
Meyer, Jule Ruth Heike
Cañellas-Solé, Albert
Guallar, Victor
Bornscheuer, Uwe
Kazemi, Masoud
AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design
title AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design
title_full AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design
title_fullStr AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design
title_full_unstemmed AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design
title_short AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design
title_sort asitedesign: a semirational algorithm for an automated enzyme design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068746/
https://www.ncbi.nlm.nih.gov/pubmed/36944360
http://dx.doi.org/10.1021/acs.jpcb.2c07091
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