Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological Evaluations

As there are increased levels and activity of butyrylcholiesterase (BChE) in the late stage of Alzheimer’s disease (AD), development of selective BChE inhibitors is of vital importance. In this study, a workflow combining computational technologies and biological assays were implemented to...

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Main Authors: You Zhou, Xin Lu, Hongyu Yang, Yao Chen, Feng Wang, Jifu Li, Zhiran Tang, Xifei Cheng, Yingbin Yang, Li Xu, Qingyou Xia
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Molecules
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Online Access:https://www.mdpi.com/1420-3049/24/23/4217
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author You Zhou
Xin Lu
Hongyu Yang
Yao Chen
Feng Wang
Jifu Li
Zhiran Tang
Xifei Cheng
Yingbin Yang
Li Xu
Qingyou Xia
author_facet You Zhou
Xin Lu
Hongyu Yang
Yao Chen
Feng Wang
Jifu Li
Zhiran Tang
Xifei Cheng
Yingbin Yang
Li Xu
Qingyou Xia
author_sort You Zhou
collection DOAJ
description As there are increased levels and activity of butyrylcholiesterase (BChE) in the late stage of Alzheimer&#8217;s disease (AD), development of selective BChE inhibitors is of vital importance. In this study, a workflow combining computational technologies and biological assays were implemented to identify selective BChE inhibitors with new chemical scaffolds. In particular, a pharmacophore model served as a 3D search query to screen three compound collections containing 3.0 million compounds. Molecular docking and cluster analysis were performed to increase the efficiency and accuracy of virtual screening. Finally, 15 compounds were retained for biological investigation. Results revealed that compounds <strong>8</strong> and <strong>18</strong> could potently and highly selectively inhibit BChE activities (IC<sub>50</sub> values &lt; 10 &#956;M on human BChE, selectivity index BChE &gt; 30). These active compounds with novel scaffolds provided us with a good starting point to further design potent and selective BChE inhibitors, which may be beneficial for the treatment of AD.
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spelling doaj.art-d132269ecf1d49f1a98a553dd3ff2f562022-12-22T01:13:27ZengMDPI AGMolecules1420-30492019-11-012423421710.3390/molecules24234217molecules24234217Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological EvaluationsYou Zhou0Xin Lu1Hongyu Yang2Yao Chen3Feng Wang4Jifu Li5Zhiran Tang6Xifei Cheng7Yingbin Yang8Li Xu9Qingyou Xia10State Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing 400715, ChinaSchool of Pharmacy, China Pharmaceutical University, Nanjing 210009, ChinaSchool of Pharmacy, China Pharmaceutical University, Nanjing 210009, ChinaSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, ChinaState Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing 400715, ChinaState Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing 400715, ChinaSchool of Life Science, Southwest University, Chongqing 400715, ChinaState Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing 400715, ChinaSchool of Life Science, Southwest University, Chongqing 400715, ChinaState Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing 400715, ChinaState Key Laboratory of Silkworm Genome Biology, College of Biotechnology, Southwest University, Chongqing 400715, ChinaAs there are increased levels and activity of butyrylcholiesterase (BChE) in the late stage of Alzheimer&#8217;s disease (AD), development of selective BChE inhibitors is of vital importance. In this study, a workflow combining computational technologies and biological assays were implemented to identify selective BChE inhibitors with new chemical scaffolds. In particular, a pharmacophore model served as a 3D search query to screen three compound collections containing 3.0 million compounds. Molecular docking and cluster analysis were performed to increase the efficiency and accuracy of virtual screening. Finally, 15 compounds were retained for biological investigation. Results revealed that compounds <strong>8</strong> and <strong>18</strong> could potently and highly selectively inhibit BChE activities (IC<sub>50</sub> values &lt; 10 &#956;M on human BChE, selectivity index BChE &gt; 30). These active compounds with novel scaffolds provided us with a good starting point to further design potent and selective BChE inhibitors, which may be beneficial for the treatment of AD.https://www.mdpi.com/1420-3049/24/23/4217alzheimer’s diseaseselective butyrylcholiesterase inhibitorsvirtual screeningpharmacophore modelacetylcholinesterasein vitro enzyme assays
spellingShingle You Zhou
Xin Lu
Hongyu Yang
Yao Chen
Feng Wang
Jifu Li
Zhiran Tang
Xifei Cheng
Yingbin Yang
Li Xu
Qingyou Xia
Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological Evaluations
Molecules
alzheimer’s disease
selective butyrylcholiesterase inhibitors
virtual screening
pharmacophore model
acetylcholinesterase
in vitro enzyme assays
title Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological Evaluations
title_full Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological Evaluations
title_fullStr Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological Evaluations
title_full_unstemmed Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological Evaluations
title_short Discovery of Selective Butyrylcholinesterase (BChE) Inhibitors through a Combination of Computational Studies and Biological Evaluations
title_sort discovery of selective butyrylcholinesterase bche inhibitors through a combination of computational studies and biological evaluations
topic alzheimer’s disease
selective butyrylcholiesterase inhibitors
virtual screening
pharmacophore model
acetylcholinesterase
in vitro enzyme assays
url https://www.mdpi.com/1420-3049/24/23/4217
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