Correlation between structure, retention, property, and activity of biologically relevant 1,7-bis(aminoalkyl)diazachrysene derivatives

• Published in: Journal of pharmaceutical and biomedical analysis 2013-01, Vol.72 (18), p.231-239
• Main Authors: Šegan, Sandra, Trifković, Jelena, Verbić, Tatjana, Opsenica, Dejan, Zlatović, Mario, Burnett, James, Šolaja, Bogdan, Milojković-Opsenica, Dušanka
• Format: Article
• Language: English
• Subjects: 1,7-Bis(aminoalkyl)-diazachrysene derivatives (1,7-DAAC); absorption; Acidity constants; Anti-Infective Agents - chemistry; Anti-Infective Agents - pharmacology; Antimalarials - chemistry; Antimalarials - pharmacology; Antiviral Agents - chemistry; Antiviral Agents - pharmacology; antiviral properties; botulinum toxin; Botulinum Toxins, Type A - antagonists & inhibitors; Ebolavirus - drug effects; excretion; Filoviridae; Hydrophobic and Hydrophilic Interactions; hydrophobicity; Kinetics; least squares; Lipophilicity; malaria; Malaria - drug therapy; mechanism of action; metabolism; Models, Molecular; partition coefficients; pathogens; Plasmodium falciparum; Plasmodium falciparum - drug effects; Principal Component Analysis; Quantitative Structure-Activity Relationship; quantitative structure-activity relationships; Quantitative structure–activity relationship (QSAR); Quantitative structure–retention relationship (QSRR); Quinolines - chemistry; Quinolines - pharmacology; serotypes; Structure-Activity Relationship; surface area; toxicity
• ISSN: 0731-7085; 1873-264X
• DOI: 10.1016/j.jpba.2012.08.025

The physicochemical properties, retention parameters (RM0), partition coefficients (logPOW), and pKa values for a series of thirteen 1,7-bis(aminoalkyl) diazachrysene (1,7-DAAC) derivatives were determined in order to reveal the characteristics responsible for their biological behavior. The investigated compounds inhibit three unrelated pathogens (the Botulinum neurotoxin serotype A light chain (BoNT/A LC), Plasmodium falciparum malaria, and Ebola filovirus) via three different mechanisms of action. To determine the most influential factors governing the retention and activities of the investigated diazachrysenes, RM0, logPOW, and biological activity values were correlated with 2D and 3D molecular descriptors, using a partial least squares regression. The resulting quantitative structure–retention (property) relationships indicate the importance of descriptors related to the hydrophobicity of the molecules (e.g., predicted partition coefficients and hydrophobic surface area). Quantitative structure–activity relationship models for describing biological activity against the BoNT/A LC and malarial strains also include overall compound polarity, electron density distribution, and proton donor/acceptor potential. Furthermore, models for Ebola filovirus inhibition are presented qualitatively to provide insights into parameters that may contribute to the compounds’ antiviral activities. Overall, the models form the basis for selecting structural features that significantly affect the compound's absorption, distribution, metabolism, excretion, and toxicity profiles.