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Predicting Modes Of Toxic Action From Chemical Structure, Steven P. Bradbury, Christine L. Russom, Steven J. Broderius, Dean J. Hammermeister, Robert A. Drummond, Gilman D. Veith
Predicting Modes Of Toxic Action From Chemical Structure, Steven P. Bradbury, Christine L. Russom, Steven J. Broderius, Dean J. Hammermeister, Robert A. Drummond, Gilman D. Veith
Steven P. Bradbury
Like many of the papers in the Environmental Toxicology and Chemistry “Top 100” list, the development of the fathead minnow database [1] and the assignment of modes of action to the 617 chemicals therein resulted from a comprehensive research effort by a multidisciplinary team of researchers with expertise in quantitative structure–activity relationship (QSAR) modeling, chemistry, toxicokinetics, joint toxicity of chemical mixtures, and behavioral and aquatic toxicology. The fathead minnow database was the culmination of the US Environmental Protection Agency’s (USEPA) QSAR research program, which spanned nearly 20 yr, a rare program because many research planning efforts typically run within a …
Use Of Knowledge Bases And Qsars To Estimate The Relative Ecological Risk Of Agrichemicals: A Problem Formulation Exercise, Steven P. Bradbury, C. L. Russom, A. R. Carlson
Use Of Knowledge Bases And Qsars To Estimate The Relative Ecological Risk Of Agrichemicals: A Problem Formulation Exercise, Steven P. Bradbury, C. L. Russom, A. R. Carlson
Steven P. Bradbury
Ecological risk assessments can be used to establish the likelihood that an adverse effect will result from exposure to one or more chemicals. When evaluating contaminated sites with many chemicals present, risk assessors must grapple with the problem of quickly identifying the chemicals that are most likely to be of concern, based on effect and exposure assessment information. Many times data gaps exist and the risk assessor is left with decisions on which models to use to estimate the parameter of concern. In the present paper, a procedure is presented for ranking agrichemicals, utilizing the ASTER (ASsessment Tools for the …
Predicting Modes Of Toxic Action From Chemical Structure: An Overview, Steven P. Bradbury
Predicting Modes Of Toxic Action From Chemical Structure: An Overview, Steven P. Bradbury
Steven P. Bradbury
In the field of environmental toxicology, and especially aquatic toxicology, quantitative structure activity relationships (QSARs) have developed as scientifically-credible tools for predicting the toxicity of chemicals when little or no empirical data are available. A basic and fundamental understanding of toxicological principles has been considered crucial to the continued acceptance and application of these techniques as biologically relevant. As a consequence, 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 assessment of a compound’s likely mode of toxic action …