Quantitative structure-activity relationship (QSAR) modeling pertains to the construction of
predictive models of biological activities as a function of structural and molecular information …

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) methods are important for prediction of
biological effect of chemical compounds based on mathematical and statistical relations …

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

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) modeling has been traditionally applied
as an evaluative approach, ie, with the focus on developing retrospective and explanatory …

Deriving quantitative structure− activity relationship (QSAR) models that are accurate,
reliable, and easily interpretable is a difficult task. In this study, two new methods have been …

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

Abstract Quantitative Structure Activity Relationship (QSAR) are mathematical models that
seek to predict complicated physicochemical/biological properties of chemicals from their …

Quantitative structure-activity relationship (QSAR) modeling provides a rational basis for
understanding mechanisms of biological performance and how to alter chemical structures …