[PDF][PDF] A practical overview of quantitative structure-activity relationship
C Isarankura-Na-Ayudhya, T Naenna, C Nantasenamat… - 2009 - core.ac.uk
Quantitative structure-activity relationship (QSAR) modeling pertains to the construction of
predictive models of biological activities as a function of structural and molecular information …
predictive models of biological activities as a function of structural and molecular information …
QSAR without borders
EN Muratov, J Bajorath, RP Sheridan… - Chemical Society …, 2020 - pubs.rsc.org
Prediction of chemical bioactivity and physical properties has been one of the most
important applications of statistical and more recently, machine learning and artificial …
important applications of statistical and more recently, machine learning and artificial …
[PDF][PDF] Encyclopedia of bioinformatics and computational biology
Quantitative structure-activity relationship (QSAR) methods are important for prediction of
biological effect of chemical compounds based on mathematical and statistical relations …
biological effect of chemical compounds based on mathematical and statistical relations …
An analysis of QSAR research based on machine learning concepts
MR Keyvanpour, MB Shirzad - Current Drug Discovery …, 2021 - ingentaconnect.com
Quantitative Structure–Activity Relationship (QSAR) is a popular approach developed to
correlate chemical molecules with their biological activities based on their chemical …
correlate chemical molecules with their biological activities based on their chemical …
The role of quantitative structure-activity relationships (QSAR) in biomolecular discovery
DA Winkler - Briefings in bioinformatics, 2002 - academic.oup.com
Emperial methods for building predictive models of the relationships between molecular
stucture and useful properties are becoming increasingly importment. This has arisen …
stucture and useful properties are becoming increasingly importment. This has arisen …
Predictive QSAR modeling workflow, model applicability domains, and virtual screening
A Tropsha, A Golbraikh - Current pharmaceutical design, 2007 - ingentaconnect.com
Quantitative Structure Activity Relationship (QSAR) modeling has been traditionally applied
as an evaluative approach, ie, with the focus on developing retrospective and explanatory …
as an evaluative approach, ie, with the focus on developing retrospective and explanatory …
Multiobjective optimization in quantitative structure− activity relationships: Deriving accurate and interpretable QSARs
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 …
reliable, and easily interpretable is a difficult task. In this study, two new methods have been …
Current approaches for choosing feature selection and learning algorithms in quantitative structure–activity relationships (QSAR)
PM Khan, K Roy - Expert opinion on drug discovery, 2018 - Taylor & Francis
Introduction: Quantitative structure-activity/property relationships (QSAR/QSPR) are
statistical models which quantitatively correlate quantitative chemical structure information …
statistical models which quantitatively correlate quantitative chemical structure information …
[PDF][PDF] Review on: quantitative structure activity relationship (QSAR) modeling
U Muhammad, A Uzairu, D Ebuka Arthur - J Anal Pharm Res, 2018 - academia.edu
Abstract Quantitative Structure Activity Relationship (QSAR) are mathematical models that
seek to predict complicated physicochemical/biological properties of chemicals from their …
seek to predict complicated physicochemical/biological properties of chemicals from their …
Multivariate design and modeling in QSAR
L Eriksson, E Johansson - Chemometrics and intelligent laboratory systems, 1996 - Elsevier
Quantitative structure-activity relationship (QSAR) modeling provides a rational basis for
understanding mechanisms of biological performance and how to alter chemical structures …
understanding mechanisms of biological performance and how to alter chemical structures …