Descriptor selection methods in quantitative structure–activity relationship studies: a review study

M Shahlaei - Chemical reviews, 2013 - ACS Publications
Quantitative structure− activity relationship (QSAR), an important area of drug design and
discovery, searches information relating chemical structure to biological and pharmaceutical …

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 …

Chemometrics tools in QSAR/QSPR studies: A historical perspective

S Yousefinejad, B Hemmateenejad - Chemometrics and Intelligent …, 2015 - Elsevier
One of the most extended subfields of chemometrics, at least by considering the number of
publications and interested researchers, is QSAR/QSPR. During the time, various improved …

A review of extractive distillation from an azeotropic phenomenon for dynamic control

Y Ma, P Cui, Y Wang, Z Zhu, Y Wang, J Gao - Chinese Journal of Chemical …, 2019 - Elsevier
Extractive distillation is an effective method for separating azeotropic or close boiling point
mixtures by adding a third component. Various technologies for performing the extractive …

Feature selection methods in QSAR studies

M Goodarzi, B Dejaegher… - Journal of AOAC …, 2012 - academic.oup.com
A quantitative structure-activity relationship (QSAR) relates quantitative chemical structure
attributes (molecular descriptors) to a biological activity. QSAR studies have now become …

Variable selection methods in QSAR: an overview

MP Gonzalez, C Teran, L Saiz-Urra… - Current topics in …, 2008 - ingentaconnect.com
Variable selection is a procedure used to select the most important features to obtain as
much information as possible from a reduced amount of features. The selection stage is …

QSAR on aryl-piperazine derivatives with activity on malaria

E Ibezim, PR Duchowicz, EV Ortiz, EA Castro - … and Intelligent Laboratory …, 2012 - Elsevier
In this work we offer linear regression models on a set of aryl-piperazine derivatives that are
obtained by exploring a pool containing 1497 Dragon molecular descriptors, in order to …

New QSPR study for the prediction of aqueous solubility of drug-like compounds

PR Duchowicz, A Talevi, LE Bruno-Blanch… - Bioorganic & medicinal …, 2008 - Elsevier
Solubility has become one of the key physicochemical screens at early stages of the drug
development process. Solubility prediction through Quantitative Structure–Property …

A review on principles, theory and practices of 2D-QSAR

K Roy, R Narayan Das - Current drug metabolism, 2014 - ingentaconnect.com
The central axiom of science purports the explanation of every natural phenomenon using
all possible logics coming from pure as well as mixed scientific background. The quantitative …

Catalytic asymmetric de novo construction of dihydroquinazolinone scaffolds via enantioselective decarboxylative [4+ 2] cycloadditions

YN Lu, JP Lan, YJ Mao, YX Wang, GJ Mei… - Chemical …, 2018 - pubs.rsc.org
The first de novo construction of enantioenriched dihydroquinazolinones via an
intermolecular strategy has been established. This approach also represents the first …