Effect of the structural factors of organic compounds on the acute toxicity toward Daphnia magna
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TINKOV, Oleg, GRIGOREV, Veniamin, RAZDOLSKY, Alexander, GRIGORYEVA, L., DEARDEN, John C.. Effect of the structural factors of organic compounds on the acute toxicity toward Daphnia magna. In: SAR and QSAR in Environmental Research, 2020, nr. 8(31), pp. 615-641. ISSN 1062-936X. DOI: https://doi.org/10.1080/1062936X.2020.1791250
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SAR and QSAR in Environmental Research
Numărul 8(31) / 2020 / ISSN 1062-936X /ISSNe 1029-046X

Effect of the structural factors of organic compounds on the acute toxicity toward Daphnia magna

DOI:https://doi.org/10.1080/1062936X.2020.1791250

Pag. 615-641

Tinkov Oleg1, Grigorev Veniamin2, Razdolsky Alexander2, Grigoryeva L.3, Dearden John C.4
 
1 Military Institute of the Ministry of Defense, Tiraspol,
2 Institute of Physiologically Active Compounds of Russian Academy of Sciences,
3 Lomonosov Moscow State University,
4 Liverpool John Moores University
 
 
Disponibil în IBN: 27 august 2020


Rezumat

The acute toxicity of organic compounds towards Daphina magna was subjected to QSAR analysis. The two-dimensional simplex representation of molecular structure (2D SiRMS) and the support vector machine (SVM), gradient boosting (GBM) methods were used to develop QSAR models. Adequate regression QSAR models were developed for incubation of 24 h. Their interpretation allowed us to quantitatively describe and rank the well-known toxicophores, to refine their molecular surroundings, and to distinguish the structural derivatives of the fragments that significantly contribute to the acute toxicity (LC50) of organic compounds towards D. magna. Based on the results of the interpretation of the regression models, a molecular design (modification) of highly toxic compounds was performed in order to reduce their hazard. In addition, acceptable classification QSAR models were developed to reliably predict the following mode of action (MOA): specific and non-specific toxicity of organic compounds towards D. magna. When interpreting these models, we were able to determine the structural fragments and the physicochemical characteristics of molecules that are responsible for the manifestation of one of the modes of action. The on-line version of the OCHEM expert system (https://ochem.eu), HYBOT descriptors, and the random forest and SVM methods were used for a comparative QSAR investigation.

Cuvinte-cheie
ecotoxicity, machine learning, mode of action, QSAR, Simplex descriptors, Structural interpretation