Predictive QSAR Models for the Toxicity of Disinfection Byproducts
Several hundred disinfection byproducts (DBPs) in drinking water have been identified, and are known to have potentially adverse health effects. There are toxicological data gaps for most DBPs, and the predictive method may provide an effective way to address this. The development of an in-silico mo...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-10-01
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Series: | Molecules |
Subjects: | |
Online Access: | https://www.mdpi.com/1420-3049/22/10/1671 |