Cargando…

Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico

The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study ch...

Descripción completa

Detalles Bibliográficos
Autores principales: Broom, Aron, Rakotoharisoa, Rojo V., Thompson, Michael C., Zarifi, Niayesh, Nguyen, Erin, Mukhametzhanov, Nurzhan, Liu, Lin, Fraser, James S., Chica, Roberto A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511930/
https://www.ncbi.nlm.nih.gov/pubmed/32968058
http://dx.doi.org/10.1038/s41467-020-18619-x
_version_ 1783586057115140096
author Broom, Aron
Rakotoharisoa, Rojo V.
Thompson, Michael C.
Zarifi, Niayesh
Nguyen, Erin
Mukhametzhanov, Nurzhan
Liu, Lin
Fraser, James S.
Chica, Roberto A.
author_facet Broom, Aron
Rakotoharisoa, Rojo V.
Thompson, Michael C.
Zarifi, Niayesh
Nguyen, Erin
Mukhametzhanov, Nurzhan
Liu, Lin
Fraser, James S.
Chica, Roberto A.
author_sort Broom, Aron
collection PubMed
description The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study changes in the conformational ensemble during evolution of the designed Kemp eliminase HG3 (k(cat)/K(M) 146 M(−1)s(−1)). We observe that catalytic residues are increasingly rigidified, the active site becomes better pre-organized, and its entrance is widened. Based on these observations, we engineer HG4, an efficient biocatalyst (k(cat)/K(M) 103,000 M(−1)s(−1)) containing key first and second-shell mutations found during evolution. HG4 structures reveal that its active site is pre-organized and rigidified for efficient catalysis. Our results show how directed evolution circumvents challenges inherent to enzyme design by shifting conformational ensembles to favor catalytically-productive sub-states, and suggest improvements to the design methodology that incorporate ensemble modeling of crystallographic data.
format Online
Article
Text
id pubmed-7511930
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-75119302020-10-08 Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico Broom, Aron Rakotoharisoa, Rojo V. Thompson, Michael C. Zarifi, Niayesh Nguyen, Erin Mukhametzhanov, Nurzhan Liu, Lin Fraser, James S. Chica, Roberto A. Nat Commun Article The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study changes in the conformational ensemble during evolution of the designed Kemp eliminase HG3 (k(cat)/K(M) 146 M(−1)s(−1)). We observe that catalytic residues are increasingly rigidified, the active site becomes better pre-organized, and its entrance is widened. Based on these observations, we engineer HG4, an efficient biocatalyst (k(cat)/K(M) 103,000 M(−1)s(−1)) containing key first and second-shell mutations found during evolution. HG4 structures reveal that its active site is pre-organized and rigidified for efficient catalysis. Our results show how directed evolution circumvents challenges inherent to enzyme design by shifting conformational ensembles to favor catalytically-productive sub-states, and suggest improvements to the design methodology that incorporate ensemble modeling of crystallographic data. Nature Publishing Group UK 2020-09-23 /pmc/articles/PMC7511930/ /pubmed/32968058 http://dx.doi.org/10.1038/s41467-020-18619-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Broom, Aron
Rakotoharisoa, Rojo V.
Thompson, Michael C.
Zarifi, Niayesh
Nguyen, Erin
Mukhametzhanov, Nurzhan
Liu, Lin
Fraser, James S.
Chica, Roberto A.
Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico
title Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico
title_full Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico
title_fullStr Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico
title_full_unstemmed Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico
title_short Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico
title_sort ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511930/
https://www.ncbi.nlm.nih.gov/pubmed/32968058
http://dx.doi.org/10.1038/s41467-020-18619-x
work_keys_str_mv AT broomaron ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT rakotoharisoarojov ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT thompsonmichaelc ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT zarifiniayesh ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT nguyenerin ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT mukhametzhanovnurzhan ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT liulin ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT fraserjamess ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico
AT chicarobertoa ensemblebasedenzymedesigncanrecapitulatetheeffectsoflaboratorydirectedevolutioninsilico