Evidence map›Paper›PMID 38647086›Full record

ArticleNucleic acids research2024

ProTox 3.0: a webserver for the prediction of toxicity of chemicals.

Priyanka Banerjee, Emanuel Kemmler, Mathias Dunkel, Robert Preissner

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 506 papers.

0numbers the graph read from it
0cells of the map it votes in
506citing papers in PubMed
365.4field-weighted citation impact, top 1% 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

506 citing papers in PubMed, 1,012 citations in OpenAlex.

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446 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 at 1 institution in 1 country.

Priyanka BanerjeeInstitute for Physiology & Science-IT, Charité - University Medicine Berlin, 10115 Berlin, Germany.ORCID 0000-0001-8072-5594
Emanuel KemmlerInstitute for Physiology & Science-IT, Charité - University Medicine Berlin, 10115 Berlin, Germany.
Mathias DunkelInstitute for Physiology & Science-IT, Charité - University Medicine Berlin, 10115 Berlin, Germany.
Robert PreissnerInstitute for Physiology & Science-IT, Charité - University Medicine Berlin, 10115 Berlin, Germany.ORCID 0000-0002-2407-1087
Charité - Universitätsmedizin Berlin · DE

Funding

Charité - University Medicine BerlinDeutsche Forschungsgemeinschaft CRU339Food allergy and tolerance 428445448
6 · The paper itself

Abstract

Interaction with chemicals, present in drugs, food, environments, and consumer goods, is an integral part of our everyday life. However, depending on the amount and duration, such interactions can also result in adverse effects. With the increase in computational methods, the in silico methods can offer significant benefits to both regulatory needs and requirements for risk assessments and the pharmaceutical industry to assess the safety profile of a chemical. Here, we present ProTox 3.0, which incorporates molecular similarity and machine-learning models for the prediction of 61 toxicity endpoints such as acute toxicity, organ toxicity, clinical toxicity, molecular-initiating events (MOE), adverse outcomes (Tox21) pathways, several other toxicological endpoints and toxicity off-targets. All the ProTox 3.0 models are validated on independent external sets and have shown strong performance. ProTox envisages itself as a complete, freely available computational platform for in silico toxicity prediction for toxicologists, regulatory agencies, computational chemists, and medicinal chemists. The ProTox 3.0 webserver is free and open to all users, and there is no login requirement and can be accessed via https://tox.charite.de. The web server takes a 2D chemical structure as input and reports the toxicological profile of the compound for each endpoint with a confidence score and overall toxicity radar plot and network plot.

Indexed as

InternetMachine LearningSoftwareComputer SimulationHumansToxicity Tests

Identifiers

PMID38647086
PMCPMC11223834
OpenAlexW4395010444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.