Evidence map›Paper›PMID 32722260›Full record

ReviewMolecules (Basel, Switzerland)2020

Bioinformatics of Metalloproteins and Metalloproteomes.

Yan Zhang, Junge Zheng

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Article
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  5. Article
  6. Microbial metal physiology: ions to ecosystems.Nature reviews. Microbiology · 2025
    Review
  7. Interpretable prediction of zinc ion location in proteins with ZincSight.Protein science : a publication of the Protein Society · 2025
    Article
  8. Review
  9. Review
  10. Review
  11. Propagation dynamics of Anaplasma marginale in a Brazilian tick cell line (RBME-6) derived from Rhipicephalus microplus.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2025
    Article
  12. Review
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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

2 authors at 1 institution in 1 country.

Yan ZhangShenzhen Key Laboratory of Marine Bioresources and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China.
Junge ZhengShenzhen Key Laboratory of Marine Bioresources and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China.
Shenzhen University · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2019A1515011938National Natural Science Foundation of China 31771407Science and Technology Innovation Committee of Shenzhen Municipality JCYJ20180305124023495Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions 2019SHIBS0003
6 · The paper itself

Abstract

Trace metals are inorganic elements that are required for all organisms in very low quantities. They serve as cofactors and activators of metalloproteins involved in a variety of key cellular processes. While substantial effort has been made in experimental characterization of metalloproteins and their functions, the application of bioinformatics in the research of metalloproteins and metalloproteomes is still limited. In the last few years, computational prediction and comparative genomics of metalloprotein genes have arisen, which provide significant insights into their distribution, function, and evolution in nature. This review aims to offer an overview of recent advances in bioinformatic analysis of metalloproteins, mainly focusing on metalloprotein prediction and the use of different metals across the tree of life. We describe current computational approaches for the identification of metalloprotein genes and metal-binding sites/patterns in proteins, and then introduce a set of related databases. Furthermore, we discuss the latest research progress in comparative genomics of several important metals in both prokaryotes and eukaryotes, which demonstrates divergent and dynamic evolutionary patterns of different metalloprotein families and metalloproteomes. Overall, bioinformatic studies of metalloproteins provide a foundation for systematic understanding of trace metal utilization in all three domains of life.

Indexed as

AnimalsBinding SitesComputational BiologyEukaryotaGenomicsHumansMetalloproteinsProkaryotic CellsProteomeTrace ElementsMetalloproteinsProteomeTrace Elementsbioinformaticscomparative genomicsevolutionmetalmetalloproteinmetalloproteome

Identifiers

PMID32722260
PMCPMC7435645
OpenAlexW3045355728

What OpenQuestion holds

Textmetadata
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.