Quantitative Structure–Activity Relationship (QSAR) is a popular approach developed to
correlate chemical molecules with their biological activities based on their chemical …

Quantitative structure-activity relationship (QSAR) has been instrumental in aiding medicinal
chemists and physical scientists in understanding how modification of substituents at …

Prediction of chemical bioactivity and physical properties has been one of the most
important applications of statistical and more recently, machine learning and artificial …

Quantitative structure–activity relationship (QSAR) models are routinely applied
computational tools in the drug discovery process. QSAR models are regression or …

Traditional drug discovery effectively contributes to the treatment of many diseases but is
limited by high costs and long cycles. Quantitative structure–activity relationship (QSAR) …

Quantitative Structure-Activity Relationship (QSAR) is based on the hypothesis that changes
in molecular structure reflect changes in the observed response or biological activity. The …

Background In-silico quantitative structure–activity relationship (QSAR) models based tools
are widely used to screen huge databases of compounds in order to determine the …

Quantitative structure–activity relationship modeling is one of the major computational tools
employed in medicinal chemistry. However, throughout its entire history it has drawn both …

Quantitative structure-activity relationships (QSAR) play a central role in computational
molecular modeling methodologies, since last two decade. QSARs are cheaper and rapid …

Background Quantitative structure-activity relationship (QSAR) is a computational modeling
method for revealing relationships between structural properties of chemical compounds …