Combined 3D-QSAR, molecular docking, and molecular dynamics study of tacrine derivatives as potential acetylcholinesterase (AChE) inhibitors of Alzheimer's disease

Verfasser / Beitragende:
[An Zhou, Jianping Hu, Lirong Wang, Guochen Zhong, Jian Pan, Zeyu Wu, Ailing Hui]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Molecular Modeling, 21/10(2015-10-01), 1-12
Format:
Artikel (online)
ID: 605512353
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024 7 0 |a 10.1007/s00894-015-2797-8  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00894-015-2797-8 
245 0 0 |a Combined 3D-QSAR, molecular docking, and molecular dynamics study of tacrine derivatives as potential acetylcholinesterase (AChE) inhibitors of Alzheimer's disease  |h [Elektronische Daten]  |c [An Zhou, Jianping Hu, Lirong Wang, Guochen Zhong, Jian Pan, Zeyu Wu, Ailing Hui] 
520 3 |a Acetylcholinesterase (AChE) is one of the key targets of drugs for treating Alzheimer's disease (AD). Tacrine is an approved drug with AChE-inhibitory activity. In this paper, 3D-QSAR, molecular docking, and molecular dynamics were carried out in order to study 60 tacrine derivatives and their AChE-inhibitory activities. 3D-QSAR modeling resulted in an optimal CoMFA model with q 2 = 0.552 and r 2 = 0.983 and an optimal CoMSIA model with q 2 = 0.581 and r 2 = 0.989. These QSAR models also showed that the steric and H-bond fields of these compounds are important influences on their activities. The interactions between these inhibitors and AChE were further explored through molecular docking and molecular dynamics simulation. A few key residues (Tyr70, Trp84, Tyr121, Trp279, and Phe330) at the binding site of AChE were identified. The results of this study improve our understanding of the mechanisms of AChE inhibitors and afford valuable information that should aid the design of novel potential AChE inhibitors. Graphical Abstract Superposition of backbone atoms of the lowest-energy structure obtained from MD simulation (magenta) onto those of the structure of the initial molecular docking model (green). 
540 |a Springer-Verlag Berlin Heidelberg, 2015 
690 7 |a Tacrine  |2 nationallicence 
690 7 |a 3D-QSAR  |2 nationallicence 
690 7 |a AChE inhibitor  |2 nationallicence 
690 7 |a Molecular dynamics  |2 nationallicence 
690 7 |a Alzheimer's disease  |2 nationallicence 
700 1 |a Zhou  |D An  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
700 1 |a Hu  |D Jianping  |u Department of Pharmaceutical Sciences, School of Pharmacy, Drug Discovery Institute, University of Pittsburgh, 15261, Pittsburgh, PA, USA  |4 aut 
700 1 |a Wang  |D Lirong  |u Department of Pharmaceutical Sciences, School of Pharmacy, Drug Discovery Institute, University of Pittsburgh, 15261, Pittsburgh, PA, USA  |4 aut 
700 1 |a Zhong  |D Guochen  |u Anhui Province Key Laboratory of R&D of Chinese Medicine, Anhui University of Chinese Medicine, 103 Meishan Road, 230038, Hefei, Anhui, China  |4 aut 
700 1 |a Pan  |D Jian  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
700 1 |a Wu  |D Zeyu  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
700 1 |a Hui  |D Ailing  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
773 0 |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/10(2015-10-01), 1-12  |x 1610-2940  |q 21:10<1  |1 2015  |2 21  |o 894 
856 4 0 |u https://doi.org/10.1007/s00894-015-2797-8  |q text/html  |z Onlinezugriff via DOI 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00894-015-2797-8  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhou  |D An  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Hu  |D Jianping  |u Department of Pharmaceutical Sciences, School of Pharmacy, Drug Discovery Institute, University of Pittsburgh, 15261, Pittsburgh, PA, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wang  |D Lirong  |u Department of Pharmaceutical Sciences, School of Pharmacy, Drug Discovery Institute, University of Pittsburgh, 15261, Pittsburgh, PA, USA  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhong  |D Guochen  |u Anhui Province Key Laboratory of R&D of Chinese Medicine, Anhui University of Chinese Medicine, 103 Meishan Road, 230038, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Pan  |D Jian  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wu  |D Zeyu  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Hui  |D Ailing  |u Institute of Natural Medicine, Hefei University of Technology, No. 193, Tunxi Road, 230009, Hefei, Anhui, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/10(2015-10-01), 1-12  |x 1610-2940  |q 21:10<1  |1 2015  |2 21  |o 894