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QSAR-Based Estimation of Species Sensitivity Distribution Parameters: An Exploratory Investigation. | LitMetric

AI Article Synopsis

  • Ecological risk assessments face challenges due to a lack of ecotoxicity data for many chemicals, which impacts environmental safety evaluations.
  • The study investigates a method to estimate species sensitivity distribution (SSD) parameters for untested chemicals using their physical and chemical properties alongside existing SSD data from well-studied compounds.
  • By employing a quantitative structure-activity relationship (QSAR) approach, the research aims to refine the predictions of toxicity for data-poor chemicals, aiding in early-stage environmental assessments when direct data is unavailable.

Article Abstract

Ecological risk assessments are hampered by limited availability of ecotoxicity data. The present study aimed to explore the possibility of deriving species sensitivity distribution (SSD) parameters for nontested compounds, based on simple physicochemical characteristics, known SSDs for data-rich compounds, and a quantitative structure-activity relationship (QSAR)-type approach. The median toxicity of a data-poor chemical for species assemblages significantly varies with values of the physicochemical descriptors, especially when based on high-quality SSD data (from either acute median effect concentrations or chronic no-observed-effect concentrations). Beyond exploratory uses, we discuss how the precision of QSAR-based SSDs can be improved to construct models that accurately predict the SSD parameters of data-poor chemicals. The current models show that the concept of QSAR-based SSDs supports screening-level evaluations of the potential ecotoxicity of compounds for which data are lacking. Environ Toxicol Chem 2019;38:2764-2770. © 2019 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900027PMC
http://dx.doi.org/10.1002/etc.4601DOI Listing

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