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Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas)
Abstract
In the field of aquatic toxicology, quantitative structure-activity relationships (QSARs) have developed as scientifically credible models for predicting the toxicity of chemicals when little or no empirical data are available. In recent years, there has been an evolution of QSAR development and application from that of a chemical-class perspective to one that is more consistent with assumptions regarding modes of toxic action. The objective of this research was to develop procedures that relate modes of acute toxic action in the fathead minnow (Pimephales promelas) to chemical structures and properties. An empirically derived database for diverse chemical structures of acute toxicity and corresponding modes of toxic action was developed through joint toxic action studies, the establishment of toxicodynamic profiles, and behavioral and dose-response interpretation of 96-h LC50 tests. Using the results from these efforts, as well as principles in the toxicological literature, approximately 600 chemicals were classified as narcotics (three distinct groups), oxidative phosphorylation uncouplers, respiratory inhibitors, electrophiles/proelectrophiles, acetylcholinesterase inhibitors, or central nervous system seizure agents. Using this data set, a computer-based expert system has been established whereby chemical structures are associated with likely modes of toxic action and, when available, corresponding QSARs.
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Citations
Cited by
Ankley, G. T., Bennett, R. S., Erickson, R. J., Hoff, D. J., Hornung, M. W., Johnson, R. D., Mount, D. R., Nichols, J. W., Russom, C. L., Schmieder, P. K., et al. (2009) · Environmental Toxicology and Chemistry · doi:10.1002/etc.34 · Cited by 2,734
Self-citationBradley, P. M., Journey, C. A., Romanok, K. M., Barber, L. B., Buxton, H. T., Foreman, W. T., Furlong, E. T., Glassmeyer, S. T., Hladik, M. L., Iwanowicz, L. R., et al. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b00012 · Cited by 330
Assessment of predictive models for estimating the acute aquatic toxicity of organic chemicals
Melnikov, F., Kostal, J., Voutchkova-Kostal, A., Zimmerman, J. B., & T. Anastas, P. (2016) · Green Chemistry · doi:10.1039/c6gc00720a · Cited by 158
Toxicity prediction based on artificial intelligence: A multidisciplinary overview
Pérez Santín, E., Rodríguez Solana, R., González García, M., García Suárez, M. D. M., Blanco Díaz, G. D., Cima Cabal, M. D., Moreno Rojas, J. M., & López Sánchez, J. I. (2021) · WIREs Computational Molecular Science · doi:10.1002/wcms.1516 · Cited by 153
Review of the toxicity of chemical mixtures: Theory, policy, and regulatory practice
McCarty, L. S., & Borgert, C. J. (2006) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2006.03.004 · Cited by 126
Metadata
- Authors
- Russom, C. L., Bradbury, S. P., Broderius, S. J., Hammermeister, D. E., & Drummond, R. A.
- Venue
- Environmental Toxicology and Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-05-01
- Volume
- 16
- Issue
- 5
- Pages
- 948-967
- ISSN
- 0730-7268 (ISSN-L)
- 1552-8618
- OpenAlex
- W2070348614
- Cited by
- 562
- References
- 0
- FWCI
- 12.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Russom, C. L., Bradbury, S. P., Broderius, S. J., Hammermeister, D. E., & Drummond, R. A. (1997). Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas). Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.5620160514
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