We apply a predictive method based on Partial Order Ranking that employs a single molecular descriptor in the model and that is simple enough to perform calculations by hand. A comparison of this procedure with results obtained from the least squares technique is carried out, using aqueous toxicity values elicited by 67 compounds and their aromatic mixtures, and the octanol/water partition coefficient as structural descriptor. Both techniques verify that, by means of a previous classification of the compounds in polar and non-polar groups, it is possible to predict the joint toxicological effect.Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicada
A systematic methodology for quantitative structure-activity relationship (QSAR) development in envi...
Abstract—Environmental contaminants are frequently encountered as mixtures, and the behavior of chem...
The toxicological structure-activity relationships are investigated using conceptual DFT based descr...
Alternative methods like predictions based on Quantitative Structure–Activity Relationships (QSARs) ...
Di Toro, Dominic M.With the multitude of new chemicals developed each year, understanding their pote...
Toxicity is a major contributor to high attrition rates of new chemical entities in drug discoveries...
Little or nothing is known about the toxicity of most of the >100,000 chemicals released into the en...
<div><p>Toxicity is a major contributor to high attrition rates of new chemical entities in drug dis...
Toxicity is a major contributor to high attrition rates of new chemical entities in drug discoveries...
The partitioning of compounds between aqueous and other phases is important for predicting toxicity....
A new methodology to evaluate the overall environmental hazard of unknown mixtures, based on bioconc...
This report is part of a project studying the variation in the sensitivity of species to toxicant's....
In this paper, quantitative-structure-toxicity-relationship (QSTR) models are developed for predicti...
Ranking chemicals according to 1 heir potential environmental hazard is a well accepted preparatory ...
The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an or...
A systematic methodology for quantitative structure-activity relationship (QSAR) development in envi...
Abstract—Environmental contaminants are frequently encountered as mixtures, and the behavior of chem...
The toxicological structure-activity relationships are investigated using conceptual DFT based descr...
Alternative methods like predictions based on Quantitative Structure–Activity Relationships (QSARs) ...
Di Toro, Dominic M.With the multitude of new chemicals developed each year, understanding their pote...
Toxicity is a major contributor to high attrition rates of new chemical entities in drug discoveries...
Little or nothing is known about the toxicity of most of the >100,000 chemicals released into the en...
<div><p>Toxicity is a major contributor to high attrition rates of new chemical entities in drug dis...
Toxicity is a major contributor to high attrition rates of new chemical entities in drug discoveries...
The partitioning of compounds between aqueous and other phases is important for predicting toxicity....
A new methodology to evaluate the overall environmental hazard of unknown mixtures, based on bioconc...
This report is part of a project studying the variation in the sensitivity of species to toxicant's....
In this paper, quantitative-structure-toxicity-relationship (QSTR) models are developed for predicti...
Ranking chemicals according to 1 heir potential environmental hazard is a well accepted preparatory ...
The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an or...
A systematic methodology for quantitative structure-activity relationship (QSAR) development in envi...
Abstract—Environmental contaminants are frequently encountered as mixtures, and the behavior of chem...
The toxicological structure-activity relationships are investigated using conceptual DFT based descr...