This report presents the best possible QSPR models for predicting the solubility of aliphatic alcohols in water that can be obtained with non-orthogonalized valence-connectivity basis. The corresponding models with orthogonalized basis, ordered in the usual manner, are also given. However, both models are statistically equivalent. Therefore, we proposed a novel approach to the QSPR modelling, which is based on the consideration of all possible or- thogonalization orderings of the valence-connectivity basis and dominant descriptor analysis. This novel procedure produced models that are better than the empirical models of Amidon et al. and the Kier-Hall models when considering the same source of experimental data
This paper attempts to elucidate differences in QSPR models of aqueous solubility (Log S), melting p...
International audienceThe solubility parameter is considered to be a significant parameter for the ch...
The development of QSPR models to predict aqueous solubility (logS) is presented. A structurally div...
Optimization of correlation weights of local graph invariants is an approach to model molecular prop...
In this work the solubilities of gases in liquids and liquids in liquids were modeled using both phy...
We present an extended QSPR modeling of solubilities of about 500 substances in series of up to 69 d...
QSPR correlation equations were developed for the prediction of the solubilities of organic gases an...
In this review we will discuss recent advances in computational prediction of solubility in water-ba...
Non conformational QSPR models were built for the aqueous solubility (mol/L) at 25 °C of 5610 struct...
Article on a general treatment of solubility and quantitative structure-property relationship (QSPR)...
Physico-chemical properties of chemicals are important data for exposure analysis. They can be estim...
A simple QSPR model, based on seven 1D and 2D descriptors and artificial neural network, was develop...
ABSTRACT The weighted holistic invariant molecular-three dimensional-quantitative structure property...
A rapidly growing area of modern pharmaceutical research is the prediction of aqueous solubility of ...
PTDC/EQU‐EQU/30060/2017The knowledge of the water solubility in ionic liquids (ILs) is an important ...
This paper attempts to elucidate differences in QSPR models of aqueous solubility (Log S), melting p...
International audienceThe solubility parameter is considered to be a significant parameter for the ch...
The development of QSPR models to predict aqueous solubility (logS) is presented. A structurally div...
Optimization of correlation weights of local graph invariants is an approach to model molecular prop...
In this work the solubilities of gases in liquids and liquids in liquids were modeled using both phy...
We present an extended QSPR modeling of solubilities of about 500 substances in series of up to 69 d...
QSPR correlation equations were developed for the prediction of the solubilities of organic gases an...
In this review we will discuss recent advances in computational prediction of solubility in water-ba...
Non conformational QSPR models were built for the aqueous solubility (mol/L) at 25 °C of 5610 struct...
Article on a general treatment of solubility and quantitative structure-property relationship (QSPR)...
Physico-chemical properties of chemicals are important data for exposure analysis. They can be estim...
A simple QSPR model, based on seven 1D and 2D descriptors and artificial neural network, was develop...
ABSTRACT The weighted holistic invariant molecular-three dimensional-quantitative structure property...
A rapidly growing area of modern pharmaceutical research is the prediction of aqueous solubility of ...
PTDC/EQU‐EQU/30060/2017The knowledge of the water solubility in ionic liquids (ILs) is an important ...
This paper attempts to elucidate differences in QSPR models of aqueous solubility (Log S), melting p...
International audienceThe solubility parameter is considered to be a significant parameter for the ch...
The development of QSPR models to predict aqueous solubility (logS) is presented. A structurally div...