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

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2013
Authors
Šegan, Sandra
Trifković, Jelena
Verbić, Tatjana
Opsenica, Dejan
Zlatović, Mario
Burnett, James
Šolaja, Bogdan
Milojković-Opsenica, Dušanka
Article (Published version)
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Abstract
The physicochemical properties, retention parameters (R-M(0)), partition coefficients (log P-OW), and pK(a) 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, R-M(0), log P-OW, 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.

Keywords:
1,7-Bis(aminoalkyl)-diazachrysene derivatives (1,7-DAAC) / Lipophilicity / Acidity constants / Quantitative structure-retention relationship (QSRR) / Quantitative structure-activity relationship (QSAR)
Source:
Journal of Pharmaceutical and Biomedical Analysis, 2013, 72, 231-239
Publisher:
  • Elsevier Science Bv, Amsterdam
Projects:
  • The synthesis of aminoquinoline-based antimalarials and botulinum neurotoxin A inhibitors (RS-172008)
  • National Cancer Institute, National Institutes of Health (USA) [HHSN261200800001E]
  • NATOs Public Diplomacy Division [SfP983638]

DOI: 10.1016/j.jpba.2012.08.025

ISSN: 0731-7085

PubMed: 22985530

WoS: 000311819100033

Scopus: 2-s2.0-84869079937
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URI
http://cer.ihtm.bg.ac.rs/handle/123456789/1305
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