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Updated: Sep 27, 2025

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
Published on: February 10, 2023
Leveraging ToxCast data and protein sequence conservation to complement aquatic life criteria derivation
Christopher M Schaupp1, Carlie A LaLone2, Brett R Blackwell2
1Oak Ridge Institute for Science and Education, USEPA, Great Lakes Toxicology and Ecology Division, Duluth, Minnesota, USA.
New Approach Methodologies (NAMs) like ToxCast can estimate chemical potency for provisional aquatic life criteria (ALC). This approach complements traditional data-intensive methods, aiding chemical prioritization and resource management.
Area of Science:
- Environmental Toxicology
- Ecotoxicology
- Risk Assessment
Background:
- Traditional aquatic life criteria (ALC) derivation is data-intensive, often lacking sufficient in vivo data for many chemicals.
- Provisional values are needed to guide stakeholders while comprehensive data are gathered for rigorous ALC.
- New Approach Methodologies (NAMs) offer potential for generating such provisional data.
Purpose of the Study:
- To assess the feasibility of using NAMs, specifically ToxCast, for deriving provisional aquatic life criteria.
- To estimate chemical potency and elucidate toxicity mechanisms using NAM data.
- To evaluate the species relevance of identified toxicity pathways for potential ALC waiver considerations.
Main Methods:
- ToxCast data were used to derive points of departure (PODs) based on activity concentration percentiles.
- Mechanistic inferences were drawn from ToxCast active target hits.
- Taxonomic conservation of toxicity pathways was assessed using SeqAPASS.
Main Results:
- ToxCast-derived PODs for nine chemicals showed reasonable alignment with existing aquatic benchmarks (USEPA, DOE).
- Six of nine chemicals were within a factor of 10, and eight of nine within a factor of 100.
- Toxicity pathways identified through NAMs reflected findings from in vivo studies.
Conclusions:
- NAM data, such as from ToxCast, show potential for complementing traditional ALC derivation.
- This approach can aid in chemical prioritization and resource management, especially when in vivo data are limited.
- Preliminary findings support the use of NAMs for provisional criteria development.
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