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In silico prediction of pesticide aquatic toxicity with chemical category approaches
Aquatic toxicity is an important issue in pesticide development. In this study, using nine molecular fingerprints to describe pesticides, binary and ternary classification models were constructed to predict aquatic toxicity of pesticides via six machine learning methods: Naïve Bayes (NB), Artificial...
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| Publicado no: | Toxicol Res (Camb) |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Royal Society of Chemistry
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6062408/ https://ncbi.nlm.nih.gov/pubmed/30090546 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c7tx00144d |
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