Evidence map›Paper›PMID 29077942›Full record

ArticleNucleic acids research2018

MetalPDB in 2018: a database of metal sites in biological macromolecular structures.

Valeria Putignano, Antonio Rosato, Lucia Banci, Claudia Andreini

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing 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

124 citing papers in PubMed.

  1. PrOMet: Accurate and Robust Metal-Binding Site and Type Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  4. The Ascent of Miniproteins.Biochemistry · 2026
    Review
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  15. The Human Omnibus of Targetable Pockets.Journal of cheminformatics · 2025
    Article
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  19. Reconstructing biological molecules with help from video gamers.Acta crystallographica. Section D, Structural biology · 2025
    Article
  20. Article

64 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

4 authors.

Valeria PutignanoMagnetic Resonance Center (CERM)-University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.
Antonio RosatoMagnetic Resonance Center (CERM)-University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.
Lucia BanciMagnetic Resonance Center (CERM)-University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.
Claudia AndreiniMagnetic Resonance Center (CERM)-University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MetalPDB (http://metalweb.cerm.unifi.it/) is a database providing information on metal-binding sites detected in the three-dimensional (3D) structures of biological macromolecules. MetalPDB represents such sites as 3D templates, called Minimal Functional Sites (MFSs), which describe the local environment around the metal(s) independently of the larger context of the macromolecular structure. The 2018 update of MetalPDB includes new contents and tools. A major extension is the inclusion of proteins whose structures do not contain metal ions although their sequences potentially contain a known MFS. In addition, MetalPDB now provides extensive statistical analyses addressing several aspects of general metal usage within the PDB, across protein families and in catalysis. Users can also query MetalPDB to extract statistical information on structural aspects associated with individual metals, such as preferred coordination geometries or aminoacidic environment. A further major improvement is the functional annotation of MFSs; the annotation is manually performed via a password-protected annotator interface. At present, ∼50% of all MFSs have such a functional annotation. Other noteworthy improvements are bulk query functionality, through the upload of a list of PDB identifiers, and ftp access to MetalPDB contents, allowing users to carry out in-depth analyses on their own computational infrastructure.

Indexed as

Databases, ProteinUser-Computer InterfaceAmino Acid SequenceBiocatalysisCations, DivalentCations, MonovalentCoordination ComplexesHumansInternetMacromolecular SubstancesMetalloproteinsMetals, HeavyMetals, LightMolecular ConformationMolecular Sequence AnnotationCations, DivalentCations, MonovalentCoordination ComplexesMacromolecular SubstancesMetalloproteinsMetals, HeavyMetals, Light

Identifiers

PMID29077942
PMCPMC5753354

What OpenQuestion holds

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LicenceCC BY
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.