Evidence map›Paper›PMID 24699831›Full record

ArticleJournal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry2014

MetalS(3), a database-mining tool for the identification of structurally similar metal sites.

Yana Valasatava, Antonio Rosato, Gabriele Cavallaro, Claudia Andreini

Abstract read
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In one paragraph

Article in Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The zinc proteome of SARS-CoV-2.Metallomics : integrated biometal science · 2022
    Article
  5. Review
  6. Structure and activity of a thermally stable mutant of Acanthamoeba actophorin.Acta crystallographica. Section F, Structural biology communications · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Structure, function and evolution of the hemerythrin-like domain superfamily.Protein science : a publication of the Protein Society · 2018
    Article
  11. Article
  12. Article
  13. Computational approaches forBioscience reports · 2017
    Review
  14. Article
  15. Review
  16. Article
  17. 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.

Yana ValasatavaMagnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy.
Antonio Rosato
Gabriele Cavallaro
Claudia Andreini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a database search tool to identify metal sites having structural similarity to a query metal site structure within the MetalPDB database of minimal functional sites (MFSs) contained in metal-binding biological macromolecules. MFSs describe the local environment around the metal(s) independently of the larger context of the macromolecular structure. Such a local environment has a determinant role in tuning the chemical reactivity of the metal, ultimately contributing to the functional properties of the whole system. The database search tool, which we called MetalS(3) (Metal Sites Similarity Search), can be accessed through a Web interface at http://metalweb.cerm.unifi.it/tools/metals3/ . MetalS(3) uses a suitably adapted version of an algorithm that we previously developed to systematically compare the structure of the query metal site with each MFS in MetalPDB. For each MFS, the best superposition is kept. All these superpositions are then ranked according to the MetalS(3) scoring function and are presented to the user in tabular form. The user can interact with the output Web page to visualize the structural alignment or the sequence alignment derived from it. Options to filter the results are available. Test calculations show that the MetalS(3) output correlates well with expectations from protein homology considerations. Furthermore, we describe some usage scenarios that highlight the usefulness of MetalS(3) to obtain mechanistic and functional hints regardless of homology.

Indexed as

AlgorithmsDatabases, ProteinSoftwareBinding SitesData MiningMacromolecular SubstancesMetalloproteinsMetalsMacromolecular SubstancesMetalloproteinsMetals

Identifiers

What OpenQuestion holds

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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.