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...
Autores principales: | , , , , , , , , |
---|---|
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 |