Evidence map›Paper›PMID 39381068›Full record

ArticleEnvironmental science. Nano2024

Mining, refining, and QSAR analysing the nanoinformatics in EPA NaKnowBase.

Paul Harten, Henry Helgen, Wilson Melendez, Bradley Beach, William K Boyes, Iason Sotiropoulos, Pantelis Karatzas, Haralambos Sarimveis, Holly M Mortensen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science. Nano, 2024. 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
–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

2 citing papers in PubMed.

  1. Review
  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

9 authors.

Paul HartenCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, AWBERC MS 483, 26 West Martin Luther King Drive, Cincinnati, OH 45268, USA.ORCID 0000-0002-0901-0198
Henry HelgenGeneral Dynamics Information Technology, 3150 Fairview Park Drive, Falls Church, VA 22042, USA.
Wilson MelendezGeneral Dynamics Information Technology, 6201 Congdon Boulevard, Duluth, MN 55804, USA.
Bradley BeachCenter for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA.
William K BoyesCenter for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA.
Iason SotiropoulosSchool of Chemical Engineering, National Technical University of Athens, 9 Heroon Polytechneiou St., 15780, Athens, Greece.
Pantelis KaratzasSchool of Chemical Engineering, National Technical University of Athens, 9 Heroon Polytechneiou St., 15780, Athens, Greece.
Haralambos SarimveisSchool of Chemical Engineering, National Technical University of Athens, 9 Heroon Polytechneiou St., 15780, Athens, Greece.ORCID 0000-0002-8607-9965
Holly M MortensenCenter for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA.ORCID 0000-0002-3180-5229

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Concerns about the safety of manufacturing and using engineered nanomaterials (ENMs) have been increasing as the technology continues to expand. Efforts have been underway to investigate the potentially harmful effects of ENMs without carrying out the challenging empirical studies. To make such investigations possible, the US EPA Office of Research and Development (ORD) developed the nanomaterial database NaKnowBase (NKB) containing the detail of hundreds of assays conducted and published by ORD scientists experimentally investigating the environmental health and safety effects of ENMs (nanoEHS). This article describes specifics of the effort to mine, refine, and analyse the NKB. Here we use a quantitative structure activity relationship (QSAR) analysis, using a random forest of decision trees to predict the

Identifiers

PMID39381068
PMCPMC11457095

What OpenQuestion holds

Textmetadata
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.