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1,3-Oxazole derivatives of cytisine as potential inhibitors of glutathione reductase of Candida spp.: QSAR modeling, docking analysis and experimental study of new anti-Candida agents.
- Source :
-
Computational biology and chemistry [Comput Biol Chem] 2021 Feb; Vol. 90, pp. 107407. Date of Electronic Publication: 2020 Nov 05. - Publication Year :
- 2021
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Abstract
- Natural products as well as their derivatives play a significant role in the discovery of new biologically active compounds in the different areas of our life especially in the field of medicine. The synthesis of compounds produced from natural products including cytisine is one approach for the wider use of natural substances in the development of new drugs. QSAR modeling was used to predict and select of biologically active cytisine-containing 1,3-oxazoles. The eleven most promising compounds were identified, synthesized and tested. The activity of the synthesized compounds was evaluated using the disc diffusion method against C. albicans M 885 (ATCC 10,231) strain and clinical fluconazole-resistant Candida krusei strain. Molecular docking of the most active compounds as potential inhibitors of the Candida spp. glutathione reductase was performed using the AutoDock Vina. The built classification models demonstrated good stability, robustness and predictive power. The eleven cytisine-containing 1,3-oxazoles were synthesized and their activity against Candida spp. was evaluated. Compounds 10, 11 as potential inhibitors of the Candida spp. glutathione reductase demonstrated the high activity against C. albicans M 885 (ATCC 10,231) strain and clinical fluconazole-resistant Candida krusei strain. The studied compounds 10, 11 present the interesting scaffold for further investigation as potential inhibitors of the Candida spp. glutathione reductase with the promising antifungal properties. The developed models are publicly available online at http://ochem.eu/article/120720 and could be used by scientists for design of new more effective drugs.<br /> (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Subjects :
- Alkaloids chemical synthesis
Alkaloids chemistry
Antifungal Agents chemical synthesis
Antifungal Agents chemistry
Azocines chemical synthesis
Azocines chemistry
Azocines pharmacology
Candida enzymology
Glutathione Reductase metabolism
Microbial Sensitivity Tests
Molecular Structure
Oxazoles chemical synthesis
Oxazoles chemistry
Quantitative Structure-Activity Relationship
Quinolizines chemical synthesis
Quinolizines chemistry
Quinolizines pharmacology
Alkaloids pharmacology
Antifungal Agents pharmacology
Candida drug effects
Glutathione Reductase antagonists & inhibitors
Molecular Docking Simulation
Oxazoles pharmacology
Subjects
Details
- Language :
- English
- ISSN :
- 1476-928X
- Volume :
- 90
- Database :
- MEDLINE
- Journal :
- Computational biology and chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 33191110
- Full Text :
- https://doi.org/10.1016/j.compbiolchem.2020.107407