Evidence map›Paper›PMID 31199129›Full record

ArticleJournal of the American Chemical Society2019

Optimization of the Turnover in Artificial Enzymes via Directed Evolution Results in the Coupling of Protein Dynamics to Chemistry.

Joseph W Schafer, Ioanna Zoi, Dimitri Antoniou, Steven D Schwartz

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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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  6. Chlorophyllase fromACS bio & med chem Au · 2024
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
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  13. Review
  14. Protein Dynamics and Enzymatic Catalysis.The journal of physical chemistry. B · 2023
    Review
  15. Review
  16. Perspective: Path Sampling Methods Applied to Enzymatic Catalysis.Journal of chemical theory and computation · 2022
    Review
  17. Article
  18. 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

4 authors.

Joseph W SchaferDepartment of Chemistry and Biochemistry , University of Arizona , Tucson , Arizona 85721 , United States.
Ioanna ZoiDepartment of Chemistry and Biochemistry , University of Arizona , Tucson , Arizona 85721 , United States.
Dimitri AntoniouDepartment of Chemistry and Biochemistry , University of Arizona , Tucson , Arizona 85721 , United States.
Steven D SchwartzDepartment of Chemistry and Biochemistry , University of Arizona , Tucson , Arizona 85721 , United States.ORCID 0000-0002-0308-1059

Funding

Rapid protein dynamics and catalysis: modulation by laboratory evolution, designed mutation, and protein control of electric field environmentR01GM127594 · NIGMS · UNIVERSITY OF ARIZONA · PI SCHWARTZ, STEVEN D · 2019 to 2022
$1.4M
NIGMS NIH HHS R01 GM127594
6 · The paper itself

Abstract

The design of artificial enzymes is an emerging field of research. Although progress has been made, the catalytic proficiency of many designed enzymes is low compared to natural enzymes. Nevertheless, recently Hilvert et al. ( Nat. Chem. 2017, 9, 50-56) created a series of five artificial retro-aldolase enzymes via directed evolution, with the final variant exhibiting a rate comparable to the naturally occurring enzyme fructose 1,6 bisphosphate aldolase. We present a study of this system in atomistic detail that elucidates the effects of mutational changes on the chemical step. Transition path sampling is used to create ensembles of reactive trajectories, and committor analysis is used to identify the stochastic separatrix of each ensemble. The application of committor distribution analysis to constrained trajectories allows the identification of changes in important protein motions coupled to reaction across the generated series of the artificial retro-aldolases. We observed two different reaction mechanisms and analyzed the role of the residues participating in the reaction coordinate of each enzyme. However, only in the most evolved variant we identified a fast motion that promotes catalysis, suggesting that this rate promoting vibration was introduced during directed evolution. This study provides further evidence that protein dynamics must be taken into account in designing efficient artificial enzymes.

Indexed as

ThermodynamicsBiomimetic MaterialsCatalysisModels, Molecular

Identifiers

PMID31199129
PMCPMC6610584

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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.