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Medical Sciences Forum
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1 November 2022

Application of Both Cluster and Principal Component Analysis for Evaluation of the Lipophilicity Parameters of Selected Antiandrogen Drugs †

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and
1
Faculty of Pharmaceutical Sciences in Sosnowiec, Doctoral School of the Medical University of Silesia in Katowice, 41-200 Sosnowiec, Poland
2
Department of Analytical Chemistry, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, 41-200 Sosnowiec, Poland
*
Author to whom correspondence should be addressed.
Presented at the 8th International Electronic Conference on Medicinal Chemistry, 1–30 November 2022; Available online: https://ecmc2022.sciforum.net/.
This article belongs to the Proceedings The 8th International Electronic Conference on Medicinal Chemistry

Abstract

The aim of this work was the use of both cluster analysis (CA) and Principal Component Analysis (PCA) for the evaluation of the lipophilicity of selected antiandrogen drugs such as abiraterone, bicalutamide, flutamide, nilutamide, leflunomide, teriflunomide and ailanthone. Lipophilicity is an important physicochemical parameter that is useful in determining the ADMET properties (absorption, distribution, metabolism, elimination and toxicity) of organic compounds that are being considered as potential drugs or drug candidates. Therefore, there is an urgent need to develop rapid, economical and efficient tools like theoretical methods that include CA and PCA analyses for the evaluation of the lipophilic properties of different bioactive compounds such as antiandrogens. In this study, we used both methods for comparison of the physicochemical properties (including lipophilicity) of seven antiandrogens with differ chemical structures. The lipophilicity parameters of the studied compounds were obtained in the form of RMW by using a thin-layer chromatographic method (RP-TLC) under different conditions (i.e., various mobile phases composed of ethanol-water, propan-2-ol-water and acetonitrile-water and chromatographic plates RP2F254, RP18F254 and RP18WF254), as well as logP values predicted using calculation methods (AlogPs, AClogP, AlogP, MlogP, xlogP2 and xlogP3). The CA and PCA analyses allowed the comparison of the examined compounds based on their lipophilicity parameters determined using RP-TLC and calculated logP values. Our study confirms the utility of both statistical methods (i.e., CA and PCA) to evaluate the lipophilicity of bioactive compounds belonging to the class of antiandrogen drugs.

Supplementary Materials

Conference poster. The material is available at https://www.mdpi.com/article/10.3390/ECMC2022-13262/s1.

Author Contributions

Conceptualization, D.W. and M.D.; methodology, D.W.; M.D. and K.B.-M.; software, D.W.; M.D. and K.B.-M.; investigation, D.W. and M.D.; writing—original draft preparation, D.W.; M.D. and K.B.-M.; writing—review and editing, supervision, M.D.; K.B.-M.; project administration, M.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was carried out as part of a project financed by the Medical University of Silesia in 2021, Katowice No. PCN-1-045-N/1/F.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data available from the authors upon request.

Conflicts of Interest

The authors declare no conflict of interest.
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