The successive projections algorithm

SFC Soares, AA Gomes, MCU Araujo… - TrAC Trends in …, 2013 - Elsevier
The successive projections algorithm (SPA) is a variable-selection technique that has
attracted increasing interest in the analytical-chemistry community in the past 10 years. The …

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 …

A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

RKH Galvao, MCU Araujo, WD Fragoso… - … and intelligent laboratory …, 2008 - Elsevier
The successive projections algorithm (SPA) is a variable selection technique designed to
minimize collinearity problems in multiple linear regression (MLR). This paper proposes a …

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 …

Multivariate statistical analysis methods in QSAR

S Pirhadi, F Shiri, JB Ghasemi - Rsc Advances, 2015 - pubs.rsc.org
The emphasis of this review is particularly on multivariate statistical methods currently used
in quantitative structure–activity relationship (QSAR) studies. The mathematical methods for …

Artificial neural network‐based drug design for diabetes mellitus using flavonoids

JC Patra, BH Chua - Journal of computational chemistry, 2011 - Wiley Online Library
Diabetes mellitus is a chronic metabolic disease involving the failure to regulate glucose
blood levels in the body and has been linked with numerous detrimental complications …

Versatile in silico modeling of partition coefficients of organic compounds in polydimethylsiloxane using linear and nonlinear methods

T Zhu, W Chen, RP Singh, Y Cui - Journal of Hazardous Materials, 2020 - Elsevier
Environmental fate, behavior and effects of hazardous organic compounds have recently
received great attention in diverse environmental phases, including water, atmosphere, soil …

Constraint score for semi-supervised feature selection in ligand-and receptor-based QSAR on serine/threonine-protein kinase PLK3 inhibitors

R Sheikhpour, MA Sarram, S Gharaghani - Chemometrics and Intelligent …, 2017 - Elsevier
Constraint score is a feature selection method based on pairwise constraints which is used
in classification problems. To the best of our knowledge, no work has used pairwise …

4.25-chemometrics for QSAR modeling

R Todeschini, V Consonni, D Ballabio… - … and Biochemical Data …, 2020 - boa.unimib.it
Chemometrics plays a fundamental role in quantitative structure-activity relationships
(QSARs) and quantitative structure-property relationships (QSPRs) methods, which aim at …

The development of HEPT-type HIV non-nucleoside reverse transcriptase inhibitors and its implications for DABO family

W Chen, P Zhan, J Wu, Z Li, X Liu - Current pharmaceutical …, 2012 - ingentaconnect.com
1-[(2-hydroxyethoxy) methyl]-6-(phenylthio) thymine (HEPT) was discovered as the first HIV-
1 non-nucleoside reverse transcriptase inhibitors (NNRTIs) in 1989. The research on HEPT …