In silico Acute Toxicity Prediction of Dimethyl Phthalate on Fish as Per Simulated Molecular Descriptors
Year: 2026
Type: article
Abstract: An organic compound, dimethyl phthalate (DMP) is a category of plasticizer that is commonly utilized in plastic materials. The prediction of acute toxicity in fish through an in silico approach is an active assessment because fish is an edible diet of human beings. The objective of the present study was to predict an in silico acute toxicity (median lethal concentration or LC50 at 96hrs exposure) of DMP on fish as per simulated molecular descriptors by using toxicity estimation software tool (T.E.S.T.). The LC50 value of fish was predicted of about 15.97 mg/L or 4.09 -Log10(mol/L) as per similarity coefficient ≥0.5 of mean absolute error (MAE) of 0.03. Different molecular descriptors such as chi connectivity indices, topological descriptor, molecular properties, molecular distance-edge vector, burden eigenvalue descriptors, 2D autocorrelation descriptors, electrotopological state indices, information indices, molecular fragments, etc. were obtained. The average value was predicted for LC50 value as per all of these descriptors. It is concluded that the acute toxicity of fish for DMP was easily predicted after simulation of different molecular descriptors within T.E.S.T tool. It is suggested to evaluate fish toxicity with other phthalate compounds.
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225739241
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