AbstractThe DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantum chemical descriptors of 43 halogenated phenols compounds. The above descriptors along with the octanol-water partition coefficient were used to establish the quantitative structure activity relationship (QSAR) of the toxicity of these compounds to tetrahymena pyriformis by multiple linear regression (MLR) and support vector machine (SVM). The statistical results indicate that the multiple correlation coefficient (R2) and cross validation using leave-one-out were 0.922, 0.892 and 0.944, 0.924, respectively. To validate the predictive power of the resulting models, external validation multiple correlation coefficient and cross validation (Q2e...
In this paper, quantitative–structure–toxicity–relationship (QSTR) models are developed for predicti...
A quantitative structure–property relationship study was performed to correlate descriptors represen...
678-685Predicting ability based on the quantitative structure–activity relationships (QSAR) model of...
AbstractThe DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantu...
ABSTRACT: The purpose of this work is to develop robust and interpretable quantitative structure”act...
Quantitative structure activity relationship (QSAR) analyses using a novel type of electronic descri...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an or...
This study presents an analysis of the ability of a two-parameter response surface, a multiple linea...
Nowadays, quantitative structure–activity relationship (QSAR) methods have been widely perform...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
In this paper, quantitative-structure-toxicity-relationship (QSTR) models are developed for predicti...
Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxic...
The aim of the study was to develop quantitative structure-activity relationships (QSARs) for a larg...
Electrophilicity index is one of the important quantum chemical descriptors in describing toxicity o...
In this paper, quantitative–structure–toxicity–relationship (QSTR) models are developed for predicti...
A quantitative structure–property relationship study was performed to correlate descriptors represen...
678-685Predicting ability based on the quantitative structure–activity relationships (QSAR) model of...
AbstractThe DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantu...
ABSTRACT: The purpose of this work is to develop robust and interpretable quantitative structure”act...
Quantitative structure activity relationship (QSAR) analyses using a novel type of electronic descri...
Quantitative Structure–Activity Relationship (QSAR) models are useful in understanding how chemical ...
The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an or...
This study presents an analysis of the ability of a two-parameter response surface, a multiple linea...
Nowadays, quantitative structure–activity relationship (QSAR) methods have been widely perform...
Quantitative Structure -Activity Relationship (QSAR) models are enormously significant to understand...
In this paper, quantitative-structure-toxicity-relationship (QSTR) models are developed for predicti...
Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxic...
The aim of the study was to develop quantitative structure-activity relationships (QSARs) for a larg...
Electrophilicity index is one of the important quantum chemical descriptors in describing toxicity o...
In this paper, quantitative–structure–toxicity–relationship (QSTR) models are developed for predicti...
A quantitative structure–property relationship study was performed to correlate descriptors represen...
678-685Predicting ability based on the quantitative structure–activity relationships (QSAR) model of...