Evidence map›Paper›PMID 37450416›Full record

ArticleDatabase : the journal of biological databases and curation2023

APDB: a database on air pollutant characterization and similarity prediction.

Eva Viesi, Davide Stefano Sardina, Ugo Perricone, Rosalba Giugno

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Eva ViesiDepartment of Computer Science, University of Verona, Strada le Grazie 15, Verona 37134, Italy.ORCID 0000-0002-6137-2479
Davide Stefano SardinaMolecular Informatics Unit, Ri.MED Foundation, Via Filippo Marini 14, Palermo 90128, Italy.ORCID 0000-0003-1161-3016
Ugo PerriconeMolecular Informatics Unit, Ri.MED Foundation, Via Filippo Marini 14, Palermo 90128, Italy.ORCID 0000-0002-2181-2468
Rosalba GiugnoDepartment of Computer Science, University of Verona, Strada le Grazie 15, Verona 37134, Italy.ORCID 0000-0001-9843-7638
Ri.MED · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization estimates that 9 out of 10 people worldwide breathe air containing high levels of pollutants. Long-term and chronic exposure to high concentrations of air pollutants is associated with deleterious effects on vital organs, including increased inflammation in the lungs, oxidative stress in the heart and disruption of the blood-brain barrier. For this reason, in an effort to find an association between exposure to pollutants and the toxicological effects observable on human health, an online resource collecting and characterizing in detail pollutant molecules could be helpful to investigate their properties and mechanisms of action. We developed a database, APDB, collecting air-pollutant-related data from different online resources, in particular, molecules from the US Environmental Protection Agency, their associated targets and bioassays found in the PubChem chemical repository and their computed molecular descriptors and quantum mechanics properties. A web interface allows (i) to browse data by category, (ii) to navigate the database by querying molecules and targets and (iii) to visualize and download molecule and target structures as well as computed descriptors and similarities. The desired data can be freely exported in textual/tabular format and the whole database in SQL format. Database URL http://apdb.di.univr.it.

Indexed as

Air PollutantsAir PollutionDatabases, FactualHumansParticulate MatterTime FactorsAir PollutantsParticulate Matter

Identifiers

PMID37450416
PMCPMC10348400
OpenAlexW4384347305

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.