Electrophilicity index is one of the important quantum chemical descriptors in describing toxicity or biological activities of the diverse classes of chemicals to bio-systems in the context of development of Quantitative Structure Activity Relationship (QSAR). In this study a large number of selected 174 aromatic compounds containing phenols, nitrobenzenes and benzonitriles are chosen as the training set to verify their toxic potency to Tetrahymena pyriformis in the light of electrophilicity. A systematic analysis has been made to find out the electron donation/acceptance nature of these model compounds by comparing their electronegativity values with those of the NA bases/DNA base pairs. The training sets are classified into two groups, vi...
Quantitative-structure-toxicity-relationship (QSTR) models are developed for predicting the toxicity...
The aim of the study was to develop quantitative structure-activity relationships (QSARs) for a larg...
A quantitative structure–property relationship study was performed to correlate descriptors represen...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
Electrophilicity is one of the cardinal chemical reactivity descriptors successfully employed in var...
The toxicological structure-activity relationships are investigated using conceptual DFT based descr...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
Quantum chemical parameters such as LUMO energy, HOMO energy, ionization energy (I), electron affini...
Quantitative structure activity relationship (QSAR) analyses using a novel type of electronic descri...
This study presents an analysis of the ability of a two-parameter response surface, a multiple linea...
The aim of this investigation was to develop a strategy for the formulation of a valid ecotoxicologi...
Quantitative-structure-toxicity-relationship (QSTR) models are developed for predicting the toxicity...
AbstractThe DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantu...
The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an or...
The Health and environmental hazards of benzene and nitrobenzene (NB) derivatives have remained a to...
Quantitative-structure-toxicity-relationship (QSTR) models are developed for predicting the toxicity...
The aim of the study was to develop quantitative structure-activity relationships (QSARs) for a larg...
A quantitative structure–property relationship study was performed to correlate descriptors represen...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
Electrophilicity is one of the cardinal chemical reactivity descriptors successfully employed in var...
The toxicological structure-activity relationships are investigated using conceptual DFT based descr...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
Quantum chemical parameters such as LUMO energy, HOMO energy, ionization energy (I), electron affini...
Quantitative structure activity relationship (QSAR) analyses using a novel type of electronic descri...
This study presents an analysis of the ability of a two-parameter response surface, a multiple linea...
The aim of this investigation was to develop a strategy for the formulation of a valid ecotoxicologi...
Quantitative-structure-toxicity-relationship (QSTR) models are developed for predicting the toxicity...
AbstractThe DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantu...
The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an or...
The Health and environmental hazards of benzene and nitrobenzene (NB) derivatives have remained a to...
Quantitative-structure-toxicity-relationship (QSTR) models are developed for predicting the toxicity...
The aim of the study was to develop quantitative structure-activity relationships (QSARs) for a larg...
A quantitative structure–property relationship study was performed to correlate descriptors represen...