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 …
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 …
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 …
publications and interested researchers, is QSAR/QSPR. During the time, various improved …
[HTML][HTML] Structure-based modeling of critical micelle concentration (CMC) of anionic surfactants in brine using intelligent methods
D Abooali, R Soleimani - Scientific Reports, 2023 - nature.com
Critical micelle concentration (CMC) is one of the main physico-chemical properties of
surface-active agents, also known as surfactants, with diverse theoretical and industrial …
surface-active agents, also known as surfactants, with diverse theoretical and industrial …
Applications of 2D descriptors in drug design: a DRAGON tale
AM Helguera, RD Combes… - Current topics in …, 2008 - ingentaconnect.com
In order to minimize expensive drug failures, is essential to determine potential activity,
toxicity and ADME problems as early as possible. In view of the large libraries of compounds …
toxicity and ADME problems as early as possible. In view of the large libraries of compounds …
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 …
much information as possible from a reduced amount of features. The selection stage is …
Cytotoxicity of selected imidazolium-derived ionic liquids in the human Caco-2 cell line. Sub-structural toxicological interpretation through a QSAR study
A García-Lorenzo, E Tojo, J Tojo, M Teijeira… - Green chemistry, 2008 - pubs.rsc.org
Room-temperature ionic liquids (ILs) are considered green chemicals that may replace
volatile organic solvents currently used by industry. However, toxicological effects of ILs are …
volatile organic solvents currently used by industry. However, toxicological effects of ILs are …
New QSPR study for the prediction of aqueous solubility of drug-like compounds
Solubility has become one of the key physicochemical screens at early stages of the drug
development process. Solubility prediction through Quantitative Structure–Property …
development process. Solubility prediction through Quantitative Structure–Property …
Combining QSAR classification models for predictive modeling of human monoamine oxidase inhibitors
Due to their role in the metabolism of monoamine neurotransmitters, MAO-A and MAO-B
present a significant pharmacological interest. For instance the inhibitors of human MAO-B …
present a significant pharmacological interest. For instance the inhibitors of human MAO-B …
Modified and enhanced replacement method for the selection of molecular descriptors in QSAR and QSPR theories
We improve a recently developed Replacement Method (RM) for the selection of an optimal
set of molecular descriptors from a much greater pool of such regression variables. Our …
set of molecular descriptors from a much greater pool of such regression variables. Our …