Quantitative structure-toxicity relationship (QSTR) plays an important role in toxicity prediction. With the modified method, the quantum chemistry parameters of 57 benzoic acid compounds were calculated with modified molecular connectivity index (MCI) using Visual Basic Program Software, and the QSTR of benzoic acid compounds in mice via oral LD50 (acute toxicity) was studied. A model was built to more accurately predict the toxicity of benzoic acid compounds in mice via oral LD50: 39 benzoic acid compounds were used as a training dataset for building the regression model and 18 others as a forecasting dataset to test the prediction ability of the model using SAS 9.0 Program Software. The model is LogLD50 = 1.2399 × 0JA +2.6911 × 1JA – 0.4...
A contemporary trend in computational toxicology is the prediction of toxicity endpoints and toxic m...
The QSAR analysis of acute intravenous toxicity for mice of 68 monofunctional chemical compounds is ...
International audienceThe new European regulation of chemicals REACH aiming to reinforce the control...
Quantitative structure-toxicity relationship (QSTR) plays an important role in toxicity prediction. ...
The Health and environmental hazards of benzene and nitrobenzene (NB) derivatives have remained a to...
The quantum chemical parameters and the topological indices have been calculated for the prediction ...
A simple approach is introduced to assess the toxicity of nitroaromatic compounds in terms of an ora...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
To better understand the mechanism of in vivo toxicity of N-nitroso compounds (NNCs), the toxicity d...
Compounds containing carbamate moieties and their derivatives can generate serious public health thr...
The Quantitative Structure Activity Relationship (QSAR) method, based on the three-dimensional (3D) ...
Modeling of quantitative structure — activity relationships (QSAR) between physicochemical descripto...
Quantitative structure-activity relationship (QSAR) models are widely used for in silico prediction ...
The information of the acute oral toxicity for most polycyclic aromatic hydrocarbons (PAHs) in mamma...
A contemporary trend in computational toxicology is the prediction of toxicity endpoints and toxic m...
The QSAR analysis of acute intravenous toxicity for mice of 68 monofunctional chemical compounds is ...
International audienceThe new European regulation of chemicals REACH aiming to reinforce the control...
Quantitative structure-toxicity relationship (QSTR) plays an important role in toxicity prediction. ...
The Health and environmental hazards of benzene and nitrobenzene (NB) derivatives have remained a to...
The quantum chemical parameters and the topological indices have been calculated for the prediction ...
A simple approach is introduced to assess the toxicity of nitroaromatic compounds in terms of an ora...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
To better understand the mechanism of in vivo toxicity of N-nitroso compounds (NNCs), the toxicity d...
Compounds containing carbamate moieties and their derivatives can generate serious public health thr...
The Quantitative Structure Activity Relationship (QSAR) method, based on the three-dimensional (3D) ...
Modeling of quantitative structure — activity relationships (QSAR) between physicochemical descripto...
Quantitative structure-activity relationship (QSAR) models are widely used for in silico prediction ...
The information of the acute oral toxicity for most polycyclic aromatic hydrocarbons (PAHs) in mamma...
A contemporary trend in computational toxicology is the prediction of toxicity endpoints and toxic m...
The QSAR analysis of acute intravenous toxicity for mice of 68 monofunctional chemical compounds is ...
International audienceThe new European regulation of chemicals REACH aiming to reinforce the control...