Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk
Assessment describes the historical evolution of quantitative structure-activity relationship …

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 (QSARs) attempt to correlate chemical structure
with activity using statistical approaches. The QSAR models are useful for various purposes …

A drug company has to ensure the quality, safety, and efficacy of a marketed drug by
subjecting the drug to a variety of tests [1]. Therefore, drug development is a time-consuming …

This brief goes back to basics and describes the Quantitative structure-activity/property
relationships (QSARs/QSPRs) that represent predictive models derived from the application …

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

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) modeling is themajor cheminformatics
approach to exploring and exploiting the dependency of chemical, biological, toxicological …

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

Introduction: Quantitative structure–activity relationship (QSAR) modeling is one of the most
popular computer-aided tools employed in medicinal chemistry for drug discovery and lead …