Molecules | |
Prediction of Acute Mammalian Toxicity Using QSAR Methods: A Case Study of Sulfur Mustard and Its Breakdown Products | |
Patricia Ruiz2  Gino Begluitti1  Terry Tincher1  John Wheeler2  | |
[1] Environmental Public Health Readiness Branch, National Center for Environmental Health, Atlanta, GA 30333, USA;Computational Toxicology and Methods Development Lab, Division of Toxicology and Human Health Sciences, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30333, USA | |
关键词:
sulfur mustard;
QSAR;
SAR;
mammalian oral;
LD50;
quantitative structure-activity relationship;
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DOI : 10.3390/molecules17088982 | |
来源: mdpi | |
【 摘 要 】
Predicting toxicity quantitatively, using Quantitative Structure Activity Relationships (QSAR), has matured over recent years to the point that the predictions can be used to help identify missing comparison values in a substance’s database. In this manuscript we investigate using the lethal dose that kills fifty percent of a test population (the LD50) for determining relative toxicity of a number of substances. In general, the smaller the LD50 value, the more toxic the chemical, and the larger the LD50 value, the lower the toxicity. When systemic toxicity and other specific toxicity data are unavailable for the chemical(s) of interest, during emergency responses, LD50 values may be employed to determine the relative toxicity of a series of chemicals. In the present study, a group of chemical warfare agents and their breakdown products have been evaluated using four available rat oral QSAR LD50 models
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190043069ZK.pdf | 549KB | download |