A rapidly growing area of modern pharmaceutical research is the prediction of aqueous solubility of drug-sized compounds from their molecular structures. There exist many different reasons for considering this physico-chemical property as a key parameter: the design of novel entities with adequate aqueous solubility brings many advantages to preclinical and clinical research and development, allowing improvement of the Absorption, Distribution, Metabolization, and Elimination/Toxicity profile and “screenability” of drug candidates in High Throughput Screening techniques. This work compiles recent QSPR linear models established by our research group devoted to the quantification of aqueous solubilities and their comparison to previous resear...
With the aim of solubility estimation in water, polyethylene glycol 400 (PEG) and their binary mixtu...
Aqueous solubility is a key parameter influencing the bioavailability of drugs and drug candidates. ...
QSPR correlation equations were developed for the prediction of the solubilities of organic gases an...
A rapidly growing area of modern pharmaceutical research is the prediction of aqueous solubility of ...
A simple QSPR model, based on seven 1D and 2D descriptors and artificial neural network, was develop...
In this review we will discuss recent advances in computational prediction of solubility in water-ba...
It was the aim of the present work to develop a quantitative structure-property relationship (QSPR) ...
Non conformational QSPR models were built for the aqueous solubility (mol/L) at 25 °C of 5610 struct...
We present an extended QSPR modeling of solubilities of about 500 substances in series of up to 69 d...
We report the results of testing quantitative structure-property relationships (QSPR) that were trai...
The development of QSPR models to predict aqueous solubility (logS) is presented. A structurally div...
In this work, two reliable aqueous solubility models, ASMS (aqueous solubility based on molecular su...
2D-QSPR models were developed in order to predict aqueous solubility of organic compounds at differe...
In this work, two reliable aqueous solubility models, ASMS (aqueous solubility based on molecular su...
Several quantitative structure-property relationship (QSPR) approaches have been explored for the pr...
With the aim of solubility estimation in water, polyethylene glycol 400 (PEG) and their binary mixtu...
Aqueous solubility is a key parameter influencing the bioavailability of drugs and drug candidates. ...
QSPR correlation equations were developed for the prediction of the solubilities of organic gases an...
A rapidly growing area of modern pharmaceutical research is the prediction of aqueous solubility of ...
A simple QSPR model, based on seven 1D and 2D descriptors and artificial neural network, was develop...
In this review we will discuss recent advances in computational prediction of solubility in water-ba...
It was the aim of the present work to develop a quantitative structure-property relationship (QSPR) ...
Non conformational QSPR models were built for the aqueous solubility (mol/L) at 25 °C of 5610 struct...
We present an extended QSPR modeling of solubilities of about 500 substances in series of up to 69 d...
We report the results of testing quantitative structure-property relationships (QSPR) that were trai...
The development of QSPR models to predict aqueous solubility (logS) is presented. A structurally div...
In this work, two reliable aqueous solubility models, ASMS (aqueous solubility based on molecular su...
2D-QSPR models were developed in order to predict aqueous solubility of organic compounds at differe...
In this work, two reliable aqueous solubility models, ASMS (aqueous solubility based on molecular su...
Several quantitative structure-property relationship (QSPR) approaches have been explored for the pr...
With the aim of solubility estimation in water, polyethylene glycol 400 (PEG) and their binary mixtu...
Aqueous solubility is a key parameter influencing the bioavailability of drugs and drug candidates. ...
QSPR correlation equations were developed for the prediction of the solubilities of organic gases an...