AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design
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hdl:2117/386534
Document typeArticle
Defense date2023
PublisherAmerican Chemical Society
Rights accessOpen Access
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Attribution-NonCommercial-NoDerivs 4.0 International
ProjectFuturEnzyme - Technologies of the Future for Low-Cost Enzymes for Environment-Friendly Products (EC-H2020-101000327)
OXIPRO - Transition towards environment-friendly consumer products by co-creation of an oxidoreductase foundry (EC-H2020-101000607)
OXIPRO - Transition towards environment-friendly consumer products by co-creation of an oxidoreductase foundry (EC-H2020-101000607)
Abstract
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.
DatasetThe code used in the study is available at https://github.com/masoudk/AsiteDesign. The code is also available as a container at https://github.com/BSC-CNS-EAPM/AsiteDesign-container.
CitationRoda, S. [et al.]. AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design. "The Journal of Physical Chemistry B", 2023, vol. 127, núm. 12, p. 2661-2670.
ISSN1520-6106
Publisher versionhttps://pubs.acs.org/doi/10.1021/acs.jpcb.2c07091#
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