Evidence map›Paper›PMID 29161638›Full record

ArticleJournal of inorganic biochemistry2018

To what extent do structural changes in catalytic metal sites affect enzyme function?

Yana Valasatava, Antonio Rosato, Nicholas Furnham, Janet M Thornton, Claudia Andreini

Open access · hybridAbstract read
In one paragraph

Article in Journal of inorganic biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

29 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Iron: Life's primeval transition metal.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  5. Review
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  8. Article
  9. The zinc proteome of SARS-CoV-2.Metallomics : integrated biometal science · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. Innovation and tinkering in the evolution of oxidases.Protein science : a publication of the Protein Society · 2022
    Review
  14. Protein metalation in biology.Current opinion in chemical biology · 2022
    Review
  15. Article
  16. Review
  17. Force Field Parameters for FeMolecules (Basel, Switzerland) · 2021
    Article
  18. Article
  19. Transfer hydrogenation catalysis in cells.RSC chemical biology · 2021
    Review
  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

5 authors at 3 institutions in 2 countries.

Yana ValasatavaMagnetic Resonance Center, University of Florence, 50019 Sesto Fiorentino, Italy; Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy.
Antonio RosatoMagnetic Resonance Center, University of Florence, 50019 Sesto Fiorentino, Italy; Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy.
Nicholas FurnhamDepartment of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, United Kingdom.
Janet M ThorntonEMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
Claudia AndreiniMagnetic Resonance Center, University of Florence, 50019 Sesto Fiorentino, Italy; Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy. Electronic address: andreini@cerm.unifi.it.
University of Florence · ITLondon School of Hygiene & Tropical Medicine · GBWellcome Trust · GB

Funding

Medical Research Council MR/K020420/1
6 · The paper itself

Abstract

About half of known enzymatic reactions involve metals. Enzymes belonging to the same superfamily often evolve to catalyze different reactions on the same structural scaffold. The work presented here investigates how functional differentiation, within superfamilies that contain metalloenzymes, relates to structural changes at the catalytic metal site. In general, when the catalytic metal site is unchanged across the enzymes of a superfamily, the functional differentiation within the superfamily tends to be low and the mechanism conserved. Conversely, all types of structural changes in the metal binding site are observed for superfamilies with high functional differentiation. Overall, the catalytic role of the metal ions appears to be one of the most conserved features of the enzyme mechanism within metalloenzyme superfamilies. In particular, when the catalytic role of the metal ion does not involve a redox reaction (i.e. there is no exchange of electrons with the substrate), this role is almost always maintained even when the site undergoes significant structural changes. In these enzymes, functional diversification is most often associated with modifications in the surrounding protein matrix, which has changed so much that the enzyme chemistry is significantly altered. On the other hand, in more than 50% of the examples where the metal has a redox role in catalysis, changes at the metal site modify its catalytic role. Further, we find that there are no examples in our dataset where metal sites with a redox role are lost during evolution. SYNOPSIS: In this paper we investigate how functional diversity within superfamilies of metalloenzymes relates to structural changes at the catalytic metal site. Evolution tends to strictly conserve the metal site. When changes occur, they do not modify the catalytic role of non-redox metals whereas they affect the role of redox-active metals.

Indexed as

Catalytic DomainEnzymesEvolution, ChemicalMetals, Alkaline EarthMetals, HeavyOxidation-ReductionEnzymesMetals, Alkaline EarthMetals, HeavyBioinorganic chemistryCopperEnzymesEvolutionIronMagnesiumMetallo-proteinsZinc

Identifiers

PMID29161638
PMCPMC5760197
OpenAlexW2767581071

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.