Evidence map›Paper›PMID 34413499›Full record

ArticleNature chemistry2021

Evolution of dynamical networks enhances catalysis in a designer enzyme.

H Adrian Bunzel, J L Ross Anderson, Donald Hilvert, Vickery L Arcus, Marc W van der Kamp, Adrian J Mulholland

Abstract read
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In one paragraph

Article in Nature chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

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  12. Computational design of serine hydrolases.Science (New York, N.Y.) · 2025
    Article
  13. Review
  14. Characterization of a NaWorld journal of microbiology & biotechnology · 2025
    Article
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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

6 authors.

H Adrian BunzelSchool of Biochemistry, University of Bristol, Bristol, UK. Adrian.Bunzel@bristol.ac.uk.
J L Ross AndersonSchool of Biochemistry, University of Bristol, Bristol, UK.
Donald HilvertLaboratory of Organic Chemistry, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3941-621X
Vickery L ArcusSchool of Science, University of Waikato, Hamilton, New Zealand.
Marc W van der KampSchool of Biochemistry, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-8060-3359
Adrian J MulhollandCentre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK. Adrian.Mulholland@bristol.ac.uk.ORCID http://orcid.org/0000-0003-1015-4567

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Biotechnology and Biological Sciences Research Council BB/M026280/1Biotechnology and Biological Sciences Research Council BB/R016445/1
6 · The paper itself

Abstract

Activation heat capacity is emerging as a crucial factor in enzyme thermoadaptation, as shown by the non-Arrhenius behaviour of many natural enzymes. However, its physical origin and relationship to the evolution of catalytic activity remain uncertain. Here we show that directed evolution of a computationally designed Kemp eliminase reshapes protein dynamics, which gives rise to an activation heat capacity absent in the original design. These changes buttress transition-state stabilization. Extensive molecular dynamics simulations show that evolution results in the closure of solvent-exposed loops and a better packing of the active site. Remarkably, this gives rise to a correlated dynamical network that involves the transition state and large parts of the protein. This network tightens the transition-state ensemble, which induces a negative activation heat capacity and non-linearity in the activity-temperature dependence. Our results have implications for understanding enzyme evolution and suggest that selectively targeting the conformational dynamics of the transition-state ensemble by design and evolution will expedite the creation of novel enzymes.

Indexed as

Evolution, ChemicalCatalysisEnzymesMolecular Dynamics SimulationProtein ConformationThermodynamicsEnzymes

Identifiers

What OpenQuestion holds

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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.