Aquatic toxicity prediction of diverse pesticides on two algal species using QSTR modeling approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-22635-3.pdf
Reference46 articles.
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3. Bakire S, Yang X, Ma G et al (2018) Developing predictive models for toxicity of organic chemicals to green algae based on mode of action. Chemosphere 190:463–470. https://doi.org/10.1016/j.chemosphere.2017.10.028
4. Banjare P, Singh J, Roy PP (2021) Predictive classification-based QSTR models for toxicity study of diverse pesticides on multiple avian species. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-11713-z
5. Bao Y, Huang Q, Li Y et al (2012) Prediction of nitrobenzene toxicity to the algae (Scenedesmus obliguus) by quantitative structure-toxicity relationship (QSTR) models with quantum chemical descriptors. Environ Toxicol Pharmacol 33:39–45. https://doi.org/10.1016/j.etap.2011.09.003
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