Uses and limitations of quantitative structure-activity relationships (QSARs) to categorize substances on the Canadian domestic substance list as persistent and/or bioaccumulative, and inherently toxic to non-human organisms
- 1 January 2002
- journal article
- research article
- Published by Taylor & Francis in SAR and QSAR in Environmental Research
- Vol. 13 (1) , 43-55
- https://doi.org/10.1080/10629360290002082
Abstract
Under sections 73 and 74 of the revised Canadian Environmental Protection Act (CEPA 1999) , Environment Canada and Health Canada must "categorize" and "screen" about 23,000 substances on the Domestic Substances List (DSL) for persistence (P), bioaccumulation (B), and inherently toxic (iT) properties. Since experimental data for P, B and iT are only available for a few DSL substances, a workshop was held to address issues associated with the use of Quantitative Structure-Activity Relationships (QSARs) to categorize these substances. This paper describes the results of an 11-12 November 1999 International Workshop sponsored by Environment Canada to discuss potential uses and limitations of QSARs to categorize DSL substances as either persistent or bioaccumulative and iT to non-human organisms and to recommend future research needed to develop methods for predicting the P, B and iT of difficult-to-model substances.Keywords
This publication has 14 references indexed in Scilit:
- Investigation of correlation between physicochemical properties of metals and their toxicity to the water flea Daphnia magna StrausPublished by Elsevier ,2004
- Use of ion characteristics to predict relative toxicity of mono-, di- and trivalent metal ions: Caenorhabditis elegans LC50Aquatic Toxicology, 1998
- A Computationally-Based Hazard Identification Algorithm That Incorporates Ligand Flexibility. 1. Identification of Potential Androgen Receptor LigandsEnvironmental Science & Technology, 1997
- Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas)Environmental Toxicology and Chemistry, 1997
- Predicting relative toxicity and interactions of divalent metal ions: Microtox® bioluminescence assayEnvironmental Toxicology and Chemistry, 1996
- Group contribution method for predicting probability and rate of aerobic biodegradationEnvironmental Science & Technology, 1994
- Determination of quantitative structure-activity relationships in antiviral metal complexes using molecular mechanicsPublished by Springer Nature ,1993
- Classifying environmental pollutantsChemosphere, 1992
- ASTER: an integration of the AQUIRE data base and the QSAR system for use in ecological risk assessmentsScience of The Total Environment, 1991
- Comments on softness parameters and metal ion toxicityJournal of Inorganic and Nuclear Chemistry, 1981