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  5. Antifungal Azole Derivatives Featuring Naphthalene Prove Potent and Competitive Cholinesterase Inhibitors with Potential CNS Penetration According to the <i>in Vitro</i> and <i>in Silico</i> Studies

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Article
en
2022

Antifungal Azole Derivatives Featuring Naphthalene Prove Potent and Competitive Cholinesterase Inhibitors with Potential CNS Penetration According to the <i>in Vitro</i> and <i>in Silico</i> Studies

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en
2022
Vol 19 (7)
Vol. 19
DOI: 10.1002/cbdv.202200027

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Zeynep Özdemir
Zeynep Özdemir

İnönü University

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Suat Sarı
Didem Akkaya
Merve Zengin
+5 more

Abstract

Abstract Cholinesterase inhibition is of great importance in the fight against neurodegenerative disorders such as Alzheimer's disease. Azole antifungals have come under the spotlight with recent discoveries that underline the efficacy and potential of miconazole and its derivatives against cholinesterase enzymes. In this study, we evaluated a library of azoles against acetylcholinesterase and butyrylcholinesterase using in vitro and in silico methods to identify potent inhibitors. Low micromolar IC 50 values were obtained for imidazole derivatives, which were further tested and found potent competitive cholinesterase inhibitors via enzyme kinetics study. The active derivatives showed negligible toxicity in in vitro cytotoxicity tests. Molecular modeling studies predicted that these derivatives were druglike, could penetrate blood‐brain barrier, and tightly bind to cholinesterase active site making key interactions via the imidazole moiety at protonated state. Thus, current study identifies potent and competitive cholinesterase inhibitor azoles with minor toxicity and potential to pass into the central nervous system.

How to cite this publication

Suat Sarı, Didem Akkaya, Merve Zengin, Suna Sabuncuoğlu, Zeynep Özdemir, Mehmet Abdullah Alagöz, Arzu Karakurt, Burak Barut (2022). Antifungal Azole Derivatives Featuring Naphthalene Prove Potent and Competitive Cholinesterase Inhibitors with Potential CNS Penetration According to the <i>in Vitro</i> and <i>in Silico</i> Studies. , 19(7), DOI: https://doi.org/10.1002/cbdv.202200027.

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Publication Details

Type

Article

Year

2022

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/cbdv.202200027

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