Comprehensive Chemometric and Chromatographic Investigation of Lipophilicity of Biologically Active Androstane-3-Oxime Derivatives Across Diverse UHPLC Systems

<b>Background/Objectives</b>: Previously reported analyses show that some androstane-3-oxime derivatives with picolyl and picolinylidene functional groups possess a significant anticancer activity towards various cancer cell lines. These findings suggest that these compounds have prominent biological potential and represent a good basis for further research. The present study aims to determine their anisotropic lipophilicity as a physicochemical parameter relevant to both prediction of chromatographic behavior and biological activity. <b>Methods</b>: Anisotropic lipophilicity was determined using reversed-phase ultra-high performance liquid chromatography (RP-UHPLC) systems equipped with three stationary phases (C18, C8 and phenyl) and three mobile phases composed of water with different modifiers (methanol, acetonitrile and a methanol-acetonitrile mixture). Capacity factors (log<i>k</i>) were obtained for all compounds across the chromatographic systems to describe their behavior in anisotropic environments. Chemometric analyses were performed using linear pattern recognition techniques (PRT), such as hierarchical cluster analysis (HCA) and principal component analysis (PCA), and non-linear clustering based on artificial neural networks (CANN). <b>Results</b>: The experimentally determined chromatographic parameters were correlated with in silico lipophilicity values (log<i>P</i>). This comparison allowed for examination of the concordance between experimental and computed data for the series of androstanes. The chemometric analysis resulted in models that provided an overview of the grouping of compounds in the space of the determined chromatographic parameters. <b>Conclusions</b>: The results demonstrate strong agreement between experimental and computational lipophilicity parameters. This very good data fit provides a reliable foundation for further studies exploring the relationships between lipophilicity and biological activity of the studied androstane derivatives.

Authors

Institutions

Publication Details

Journal
Pharmaceuticals
Published
2025-11-23
DOI
https://doi.org/10.3390/ph18121778
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive Chemometric and Chromatographic Investigation of Lipophilicity of Biologically Active Androstane-3-Oxime Derivatives Across Diverse UHPLC Systems

Sanja Podunavac-Kuzmаnоvić, Strаhinjа Kоvаčеvić, Milica Karadžić Banjac, Jovana J. Ajduković et al.
1 citations
Pharmaceuticals
Computational Drug Discovery Methods
1.50
article

Comprehensive Chemometric and Chromatographic Investigation of Lipophilicity of Biologically Active Androstane-3-Oxime Derivatives Across Diverse UHPLC Systems

Sanja Podunavac-Kuzmаnоvić, Strаhinjа Kоvаčеvić, Milica Karadžić Banjac, Jovana J. Ajduković, Jasmina Anojčić
article en
1 citations

Abstract

<b>Background/Objectives</b>: Previously reported analyses show that some androstane-3-oxime derivatives with picolyl and picolinylidene functional groups possess a significant anticancer activity towards various cancer cell lines. These findings suggest that these compounds have prominent biological potential and represent a good basis for further research. The present study aims to determine their anisotropic lipophilicity as a physicochemical parameter relevant to both prediction of chromatographic behavior and biological activity. <b>Methods</b>: Anisotropic lipophilicity was determined using reversed-phase ultra-high performance liquid chromatography (RP-UHPLC) systems equipped with three stationary phases (C18, C8 and phenyl) and three mobile phases composed of water with different modifiers (methanol, acetonitrile and a methanol-acetonitrile mixture). Capacity factors (log<i>k</i>) were obtained for all compounds across the chromatographic systems to describe their behavior in anisotropic environments. Chemometric analyses were performed using linear pattern recognition techniques (PRT), such as hierarchical cluster analysis (HCA) and principal component analysis (PCA), and non-linear clustering based on artificial neural networks (CANN). <b>Results</b>: The experimentally determined chromatographic parameters were correlated with in silico lipophilicity values (log<i>P</i>). This comparison allowed for examination of the concordance between experimental and computed data for the series of androstanes. The chemometric analysis resulted in models that provided an overview of the grouping of compounds in the space of the determined chromatographic parameters. <b>Conclusions</b>: The results demonstrate strong agreement between experimental and computational lipophilicity parameters. This very good data fit provides a reliable foundation for further studies exploring the relationships between lipophilicity and biological activity of the studied androstane derivatives.

PharmaceuticalsVol. 18(12)
University of Novi Sad (RS)
Openalex Percentile: Top 12%
Computational Drug Discovery Methods
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.