Quantitative structure-activity relationship (QSAR) and quantitative structure-property
relationship (QSPR) models have been extensively used for predicting compounds of …

Computational methods for predicting compounds of specific pharmacodynamic,
pharmacokinetic, or toxicological property are useful for facilitating drug discovery and drug …

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

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

Quantitative structure–activity relationship (QSAR) techniques have found wide application
in the fields of drug design, property modeling, and toxicity prediction of untested chemicals …

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

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 …

Abstract Development of predictive quantitative structure–activity relationship (QSAR)
models plays a significant role in the design of purpose-specific fine chemicals including …

Quantitative structure-activity relationship (QSAR) is a statistical modelling approach that
can be used in drug discovery, environmental fate modeling, property and activity prediction …