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Dataset . 2019
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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Suspect Lists for Neurotoxicant Screening

Authors: Schymanski, Emma; Baker, Nancy; Williams, Antony J.;

Suspect Lists for Neurotoxicant Screening

Abstract

A range of lists for performing suspect screening of neurotoxicants, described in Table 1 of Schymanski et al (under revision), as well as the source data for the NEUROTOXINS list. DNTEFFECTS (96): Chemicals with data demonstrating effects on neurodevelopment DNTINVIVO (33): A (non-exhaustive) list of compounds documented to trigger developmental neurotoxicity (DNT) in at least two different laboratories DNTPOTNEG (41): Suggested potential negative controls for developmental neurotoxicity (DNT) assays. Statins can also be used, see https://comptox.epa.gov/dashboard/chemical_lists/statins HUMANNEUROTOX (190): A set of chemicals identified as potential neurotoxicants by the authors using literature, not necessarily active neurotoxicants. NEUROTOXINS (511): A list of chemicals reported as neurotoxicants, compiled from public resources (see source file included here) LITMINEDNEURO (1243): Chemicals associated with neurotoxicity compiled through systematic literature mining of PubMed using MeSH terms (node C10, subheadings “chemically induced”, “toxicity”, “poisoning”, or “adverse effects”) and associating these with single chemical substances.

Further details in manuscript currently under revision.

Related Organizations
Keywords

Suspect Screening, Neurotoxicants, NT-HR-MS, Neurotoxicity

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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