Evidence map›Paper›PMID 29780987›Full record

ReviewChemical communications (Cambridge, England)2018

Role of conformational dynamics in the evolution of novel enzyme function.

Miguel A Maria-Solano, Eila Serrano-Hervás, Adrian Romero-Rivera, Javier Iglesias-Fernández, Sílvia Osuna

Abstract readReview
In one paragraph

Review in Chemical communications (Cambridge, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Directed evolution of a beta-lactamase samples a wide variety of conformational states.Protein science : a publication of the Protein Society · 2025
    Article
  9. A Novel Unorthodox Dimeric Primary Enoyl-CoA Reductase Structure.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Correlating enzymatic reactivity for different substrates using transferable data-driven collective variables.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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

5 authors.

Miguel A Maria-SolanoCompBioLab Group, Institut de Química Computacional i Catàlisi and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany, 69, 17003 Girona, Catalonia, Spain. silvia.osuna@udg.edu.
Eila Serrano-Hervás
Adrian Romero-Rivera
Javier Iglesias-Fernández
Sílvia Osuna

Funding

European Research Council 679001
6 · The paper itself

Abstract

The free energy landscape concept that describes enzymes as an ensemble of differently populated conformational sub-states in dynamic equilibrium is key for evaluating enzyme activity, enantioselectivity, and specificity. Mutations introduced in the enzyme sequence can alter the populations of the pre-existing conformational states, thus strongly modifying the enzyme ability to accommodate alternative substrates, revert its enantiopreferences, and even increase the activity for some residual promiscuous reactions. In this feature article, we present an overview of the current experimental and computational strategies to explore the conformational free energy landscape of enzymes. We provide a series of recent publications that highlight the key role of conformational dynamics for the enzyme evolution towards new functions and substrates, and provide some perspectives on how conformational dynamism should be considered in future computational enzyme design protocols.

Indexed as

BiocatalysisCatalytic DomainEnzymesMolecular Dynamics SimulationMutationProtein ConformationThermodynamicsEnzymes

Identifiers

PMID29780987
PMCPMC6009289

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Registered trials

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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.