In this paper, quantitative–structure–toxicity–relationship (QSTR) models are developed for predicting the toxicity of halogen, sulfur and chlorinated aromatic compounds. Two sets of compounds, containing mainly halogen and sulfur inorganic compounds in the first set and chlorinated aromatic compounds in the second, are investigated for their toxicity level with the aid of the conceptual Density Functional Theory (DFT) method. Both sets are tested with the conventional density functional descriptors and with a newly proposed net electrophilicity descriptor. Associated R2, R2CV and R2adj values reveal that in the first set, the proposed net electrophilicity descriptor (??±) provides the best result, whereas in the second set, electrophilicit...
The structure and chemical reactivity profiles of all 12 chlorobenzenes have been investigated using...
The Health and environmental hazards of benzene and nitrobenzene (NB) derivatives have remained a to...
The search for the best quantitative structure-activity relationship (QSAR) models in ecotoxicology ...
In this paper, quantitative-structure-toxicity-relationship (QSTR) models are developed for predicti...
Conceptual density functional theory (DFT) based global reactivity descriptors are used to understan...
AbstractThe DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantu...
Toxicity of polychlorinated dibenzofurans are correlated with global and local electrophilicities ca...
Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxic...
Quantitative-structure-toxicity-relationship (QSTR) models are developed for predicting the toxicity...
We present a comprehensive analysis to probe the effect of solvation on the reactivity of the comple...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
Abstract. The applicability of DFT-based descriptors for the development of toxicological structure–...
The toxicological structure-activity relationships are investigated using conceptual DFT based descr...
The Halogenated Aromatic Compounds (HAC) are considered an emerging group of persistent chemical pol...
The structure and chemical reactivity profiles of all 12 chlorobenzenes have been investigated using...
The Health and environmental hazards of benzene and nitrobenzene (NB) derivatives have remained a to...
The search for the best quantitative structure-activity relationship (QSAR) models in ecotoxicology ...
In this paper, quantitative-structure-toxicity-relationship (QSTR) models are developed for predicti...
Conceptual density functional theory (DFT) based global reactivity descriptors are used to understan...
AbstractThe DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantu...
Toxicity of polychlorinated dibenzofurans are correlated with global and local electrophilicities ca...
Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxic...
Quantitative-structure-toxicity-relationship (QSTR) models are developed for predicting the toxicity...
We present a comprehensive analysis to probe the effect of solvation on the reactivity of the comple...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
Abstract. The applicability of DFT-based descriptors for the development of toxicological structure–...
The toxicological structure-activity relationships are investigated using conceptual DFT based descr...
The Halogenated Aromatic Compounds (HAC) are considered an emerging group of persistent chemical pol...
The structure and chemical reactivity profiles of all 12 chlorobenzenes have been investigated using...
The Health and environmental hazards of benzene and nitrobenzene (NB) derivatives have remained a to...
The search for the best quantitative structure-activity relationship (QSAR) models in ecotoxicology ...