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Quinuclidine-Based Carbamates as Potential CNS Active Compounds
The treatment of central nervous system (CNS) diseases related to the decrease of neurotransmitter acetylcholine in neurons is based on compounds that prevent or disrupt the action of acetylcholinesterase and butyrylcholinesterase. A series of thirteen quinuclidine carbamates were designed using qui...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003920/ https://www.ncbi.nlm.nih.gov/pubmed/33804719 http://dx.doi.org/10.3390/pharmaceutics13030420 |
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author | Matošević, Ana Radman Kastelic, Andreja Mikelić, Ana Zandona, Antonio Katalinić, Maja Primožič, Ines Bosak, Anita Hrenar, Tomica |
author_facet | Matošević, Ana Radman Kastelic, Andreja Mikelić, Ana Zandona, Antonio Katalinić, Maja Primožič, Ines Bosak, Anita Hrenar, Tomica |
author_sort | Matošević, Ana |
collection | PubMed |
description | The treatment of central nervous system (CNS) diseases related to the decrease of neurotransmitter acetylcholine in neurons is based on compounds that prevent or disrupt the action of acetylcholinesterase and butyrylcholinesterase. A series of thirteen quinuclidine carbamates were designed using quinuclidine as the structural base and a carbamate group to ensure the covalent binding to the cholinesterase, which were synthesized and tested as potential human acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibitors. The synthesized compounds differed in the substituents on the amino and carbamoyl parts of the molecule. All of the prepared carbamates displayed a time-dependent inhibition with overall inhibition rate constants in the 10(3) M(−1) min(−1) range. None of the compounds showed pronounced selectivity for any of the cholinesterases. The in silico determined ability of compounds to cross the blood–brain barrier (BBB) revealed that six compounds should be able to pass the BBB by passive transport. In addition, the compounds did not show toxicity toward cells that represented the main models of individual organs. By machine learning, the most optimal regression models for the prediction of bioactivity were established and validated. Models for AChE and BChE described 89 and 90% of the total variations among the data, respectively. These models facilitated the prediction and design of new and more potent inhibitors. Altogether, our study confirmed that quinuclidinium carbamates are promising candidates for further development as CNS-active drugs, particularly for Alzheimer’s disease treatment. |
format | Online Article Text |
id | pubmed-8003920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80039202021-03-28 Quinuclidine-Based Carbamates as Potential CNS Active Compounds Matošević, Ana Radman Kastelic, Andreja Mikelić, Ana Zandona, Antonio Katalinić, Maja Primožič, Ines Bosak, Anita Hrenar, Tomica Pharmaceutics Article The treatment of central nervous system (CNS) diseases related to the decrease of neurotransmitter acetylcholine in neurons is based on compounds that prevent or disrupt the action of acetylcholinesterase and butyrylcholinesterase. A series of thirteen quinuclidine carbamates were designed using quinuclidine as the structural base and a carbamate group to ensure the covalent binding to the cholinesterase, which were synthesized and tested as potential human acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibitors. The synthesized compounds differed in the substituents on the amino and carbamoyl parts of the molecule. All of the prepared carbamates displayed a time-dependent inhibition with overall inhibition rate constants in the 10(3) M(−1) min(−1) range. None of the compounds showed pronounced selectivity for any of the cholinesterases. The in silico determined ability of compounds to cross the blood–brain barrier (BBB) revealed that six compounds should be able to pass the BBB by passive transport. In addition, the compounds did not show toxicity toward cells that represented the main models of individual organs. By machine learning, the most optimal regression models for the prediction of bioactivity were established and validated. Models for AChE and BChE described 89 and 90% of the total variations among the data, respectively. These models facilitated the prediction and design of new and more potent inhibitors. Altogether, our study confirmed that quinuclidinium carbamates are promising candidates for further development as CNS-active drugs, particularly for Alzheimer’s disease treatment. MDPI 2021-03-20 /pmc/articles/PMC8003920/ /pubmed/33804719 http://dx.doi.org/10.3390/pharmaceutics13030420 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Matošević, Ana Radman Kastelic, Andreja Mikelić, Ana Zandona, Antonio Katalinić, Maja Primožič, Ines Bosak, Anita Hrenar, Tomica Quinuclidine-Based Carbamates as Potential CNS Active Compounds |
title | Quinuclidine-Based Carbamates as Potential CNS Active Compounds |
title_full | Quinuclidine-Based Carbamates as Potential CNS Active Compounds |
title_fullStr | Quinuclidine-Based Carbamates as Potential CNS Active Compounds |
title_full_unstemmed | Quinuclidine-Based Carbamates as Potential CNS Active Compounds |
title_short | Quinuclidine-Based Carbamates as Potential CNS Active Compounds |
title_sort | quinuclidine-based carbamates as potential cns active compounds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003920/ https://www.ncbi.nlm.nih.gov/pubmed/33804719 http://dx.doi.org/10.3390/pharmaceutics13030420 |
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