Evidence map›Paper›PMID 35056698›Full record

ArticleMolecules (Basel, Switzerland)2022

Structural Identification of Metalloproteomes in Marine Diatoms, an Efficient Algae Model in Toxic Metals Bioremediation.

Christos T Chasapis, Massimiliano Peana, Vlasoula Bekiari

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Bioaccumulation of Titanium in diatom Cyclotella atomus Hust.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Article
  4. Structural modeling of protein ensembles between E3 RING ligases and SARS-CoV-2: The role of zinc binding domains.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2023
    Article
  5. Review
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

3 authors at 2 institutions in 2 countries.

Christos T ChasapisDepartment of Animal Production, Fisheries and Aquaculture, University of Patras, 30200 Messolonghi, Greece.ORCID 0000-0002-8728-6245
Massimiliano PeanaDepartment of Chemistry and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3306-0419
Vlasoula BekiariDepartment of Crop Science, University of Patras, 30200 Messolonghi, Greece.ORCID 0000-0002-7115-9866
University of Patras · GRUniversity of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biosorption of pollutants using microbial organisms has received growing interest in the last decades. Diatoms, the most dominant group of phytoplankton in oceans, are (i) pollution tolerant species, (ii) excellent biological indicators of water quality, and (iii) efficient models in assimilation and detoxification of toxic metal ions. Published research articles connecting proteomics with the capacity of diatoms for toxic metal removal are very limited. In this work, we employed a structural based systematic approach to predict and analyze the metalloproteome of six species of marine diatoms:

Indexed as

Biodegradation, EnvironmentalDiatomsAquatic OrganismsMetalsMetals, HeavyProteomeProteomicsWater Pollutants, ChemicalMetalsMetals, HeavyProteomeWater Pollutants, Chemicaldiatomsmarine pollutionmetal detoxificationmetalloproteometoxic metal

Identifiers

PMID35056698
PMCPMC8779346
OpenAlexW4206736266

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.