Quantitative structure-activity relationship (QSAR) methods are important for prediction of
biological effect of chemical compounds based on mathematical and statistical relations …

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) modeling pertains to the construction of
predictive models of biological activities as a function of structural and molecular information …

Drug design is a process which is driven by technological breakthroughs implying advanced
experimental and computational methods. Nowadays, the techniques or the drug design …

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

Emperial methods for building predictive models of the relationships between molecular
stucture and useful properties are becoming increasingly importment. This has arisen …

Over forty years have elapsed since Hansch and Fujita published their pioneering work of
quantitative structure-activity relationships (QSAR). Following the introduction of …

Introduction: Quantitative structure-activity/property relationships (QSAR/QSPR) are
statistical models which quantitatively correlate quantitative chemical structure information …

Abstract Quantitative Structure–Activity Relationship (QSAR) models are used increasingly
to screen chemical databases and/or virtual chemical libraries for potentially bioactive …

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 …