Water solubility is a key physicochemical parameter in pesticide control and regulation, although sometimes its experimental determination is not an easy task. In this study, we present Quantitative Structure-Property Relationships (QSPRs) for predicting the water solubility at 20 °C of 1211 approved heterogeneous pesticide compounds, collected from the online Pesticides Properties Data Base (PPDB). Validated and generally applicable Multivariable Linear Regression (MLR) models were established, including molecular descriptors carrying constitutional and topological aspects of the analyzed compounds. The most representative descriptors were selected from the exploration of a large number of about 18,000 structural variables. A hybrid approa...
Physico-chemical properties of chemicals are important data for exposure analysis. They can be estim...
In advanced water treatment processes, the degradation efficiency of contaminants depends on the rea...
International audienceA comprehensive review of quantitative structure-activity relationships (QSAR)...
The assessment of the environmental fate and (eco)toxicological effects of pesticide compounds is of...
Non conformational QSPR models were built for the aqueous solubility (mol/L) at 25 °C of 5610 struct...
The application of molecular descriptors in describing Quantitative Structure Property Relationships...
In this paper, we reviewed various interesting applications of the Quantitative Structure-Activity/P...
Study on quantitative solubility and structure relationship of organophospate pesticide has been con...
Statistical techniques for screening experimental or literature chemical databases for compounds exh...
A simple QSPR model, based on seven 1D and 2D descriptors and artificial neural network, was develop...
A data set of 420 pesticide persistences in the environment was collected as field half-life (HL) us...
(Benzo)triazoles are distributed throughout the environment, mainly in water compartments, because o...
In our study the dataset containing 489 pesticides and their active substances of different classes ...
We predict the soil sorption coefficient for a heterogeneous set of 643 organic non-ionic compounds ...
The majority of perfluorinated chemicals (PFCs) are of increasing risk to biota and environment due ...
Physico-chemical properties of chemicals are important data for exposure analysis. They can be estim...
In advanced water treatment processes, the degradation efficiency of contaminants depends on the rea...
International audienceA comprehensive review of quantitative structure-activity relationships (QSAR)...
The assessment of the environmental fate and (eco)toxicological effects of pesticide compounds is of...
Non conformational QSPR models were built for the aqueous solubility (mol/L) at 25 °C of 5610 struct...
The application of molecular descriptors in describing Quantitative Structure Property Relationships...
In this paper, we reviewed various interesting applications of the Quantitative Structure-Activity/P...
Study on quantitative solubility and structure relationship of organophospate pesticide has been con...
Statistical techniques for screening experimental or literature chemical databases for compounds exh...
A simple QSPR model, based on seven 1D and 2D descriptors and artificial neural network, was develop...
A data set of 420 pesticide persistences in the environment was collected as field half-life (HL) us...
(Benzo)triazoles are distributed throughout the environment, mainly in water compartments, because o...
In our study the dataset containing 489 pesticides and their active substances of different classes ...
We predict the soil sorption coefficient for a heterogeneous set of 643 organic non-ionic compounds ...
The majority of perfluorinated chemicals (PFCs) are of increasing risk to biota and environment due ...
Physico-chemical properties of chemicals are important data for exposure analysis. They can be estim...
In advanced water treatment processes, the degradation efficiency of contaminants depends on the rea...
International audienceA comprehensive review of quantitative structure-activity relationships (QSAR)...