Evidence map›Paper›PMID 30254369›Full record

ArticleNature communications2018

The evolution of multiple active site configurations in a designed enzyme.

Nan-Sook Hong, Dušan Petrović, Richmond Lee, Ganna Gryn'ova, Miha Purg, Jake Saunders, Paul Bauer, Paul D Carr, Ching-Yeh Lin, Peter D Mabbitt and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Predicting Activation Barriers With Ring and Bond Critical Points in the Kemp Elimination Reaction.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
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  9. Review
  10. Article
  11. Mutexa: A Computational Ecosystem for Intelligent Protein Engineering.Journal of chemical theory and computation · 2023
    Review
  12. Article
  13. Review
  14. EnzyHTP Computational Directed Evolution with Adaptive Resource Allocation.Journal of chemical information and modeling · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Frontiers in bioengineering and biotechnology · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Nan-Sook HongResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
Dušan PetrovićDepartment of Chemistry, BMC, Uppsala University, Box 576, 751 23, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-1834-7358
Richmond LeeResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
Ganna Gryn'ovaResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
Miha PurgDepartment of Chemistry, BMC, Uppsala University, Box 576, 751 23, Uppsala, Sweden.
Jake SaundersResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
Paul BauerDepartment of Chemistry, BMC, Uppsala University, Box 576, 751 23, Uppsala, Sweden.
Paul D CarrResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
Ching-Yeh LinResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
Peter D MabbittResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0001-7202-400X
William ZhangResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0002-2191-3576
Timothy AltamoreResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.
Chris EastonResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0002-2263-1204
Michelle L CooteResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia.ORCID http://orcid.org/0000-0003-0828-7053
Shina C L KamerlinDepartment of Chemistry, BMC, Uppsala University, Box 576, 751 23, Uppsala, Sweden. lynn.kamerlin@kemi.uu.se.ORCID http://orcid.org/0000-0002-3190-1173
Colin J JacksonResearch School of Chemistry, Australian National University, Canberra, ACT, 2601, Australia. colin.jackson@anu.edu.au.ORCID http://orcid.org/0000-0001-6150-3822

Funding

European Research Council 306474
6 · The paper itself

Abstract

Developments in computational chemistry, bioinformatics, and laboratory evolution have facilitated the de novo design and catalytic optimization of enzymes. Besides creating useful catalysts, the generation and iterative improvement of designed enzymes can provide valuable insight into the interplay between the many phenomena that have been suggested to contribute to catalysis. In this work, we follow changes in conformational sampling, electrostatic preorganization, and quantum tunneling along the evolutionary trajectory of a designed Kemp eliminase. We observe that in the Kemp Eliminase KE07, instability of the designed active site leads to the emergence of two additional active site configurations. Evolutionary conformational selection then gradually stabilizes the most efficient configuration, leading to an improved enzyme. This work exemplifies the link between conformational plasticity and evolvability and demonstrates that residues remote from the active sites of enzymes play crucial roles in controlling and shaping the active site for efficient catalysis.

Indexed as

Catalytic DomainComputer-Aided DesignDirected Molecular EvolutionCrystallography, X-RayEnzymesEnzyme StabilityIsoxazolesModels, ChemicalMolecular Dynamics SimulationMolecular StructureStatic ElectricityThermodynamicsEnzymesIsoxazoles

Identifiers

PMID30254369
PMCPMC6156567

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.