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Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation
Ginger (Zingiber officinale), despite being a common dietary adjunct that contributes to the taste and flavor of foods, is well known to contain a number of potentially bioactive phytochemicals having valuable medicinal properties. Although recent studies have emphasized their benefits in Alzheimer’...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211852/ https://www.ncbi.nlm.nih.gov/pubmed/25364231 http://dx.doi.org/10.2147/DDDT.S67778 |
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author | Azam, Faizul Amer, Abdualrahman M Abulifa, Abdullah R Elzwawi, Mustafa M |
author_facet | Azam, Faizul Amer, Abdualrahman M Abulifa, Abdullah R Elzwawi, Mustafa M |
author_sort | Azam, Faizul |
collection | PubMed |
description | Ginger (Zingiber officinale), despite being a common dietary adjunct that contributes to the taste and flavor of foods, is well known to contain a number of potentially bioactive phytochemicals having valuable medicinal properties. Although recent studies have emphasized their benefits in Alzheimer’s disease, limited information is available on the possible mechanism by which it renders anti-Alzheimer activity. Therefore, the present study seeks to employ molecular docking studies to investigate the binding interactions between active ginger components and various anti-Alzheimer drug targets. Lamarckian genetic algorithm methodology was employed for docking of 12 ligands with 13 different target proteins using AutoDock 4.2 program. Docking protocol was validated by re-docking of all native co-crystallized ligands into their original binding cavities exhibiting a strong correlation coefficient value (r(2)=0.931) between experimentally reported and docking predicted activities. This value suggests that the approach could be a promising computational tool to aid optimization of lead compounds obtained from ginger. Analysis of binding energy, predicted inhibition constant, and hydrophobic/hydrophilic interactions of ligands with target receptors revealed acetylcholinesterase as most promising, while c-Jun N-terminal kinase was recognized as the least favorable anti-Alzheimer’s drug target. Common structural requirements include hydrogen bond donor/acceptor area, hydrophobic domain, carbon spacer, and distal hydrophobic domain flanked by hydrogen bond donor/acceptor moieties. In addition, drug-likeness score and molecular properties responsible for a good pharmacokinetic profile were calculated by Osiris property explorer and Molinspiration online toolkit, respectively. None of the compounds violated Lipinski’s rule of five, making them potentially promising drug candidates for the treatment of Alzheimer’s disease. |
format | Online Article Text |
id | pubmed-4211852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42118522014-10-31 Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation Azam, Faizul Amer, Abdualrahman M Abulifa, Abdullah R Elzwawi, Mustafa M Drug Des Devel Ther Original Research Ginger (Zingiber officinale), despite being a common dietary adjunct that contributes to the taste and flavor of foods, is well known to contain a number of potentially bioactive phytochemicals having valuable medicinal properties. Although recent studies have emphasized their benefits in Alzheimer’s disease, limited information is available on the possible mechanism by which it renders anti-Alzheimer activity. Therefore, the present study seeks to employ molecular docking studies to investigate the binding interactions between active ginger components and various anti-Alzheimer drug targets. Lamarckian genetic algorithm methodology was employed for docking of 12 ligands with 13 different target proteins using AutoDock 4.2 program. Docking protocol was validated by re-docking of all native co-crystallized ligands into their original binding cavities exhibiting a strong correlation coefficient value (r(2)=0.931) between experimentally reported and docking predicted activities. This value suggests that the approach could be a promising computational tool to aid optimization of lead compounds obtained from ginger. Analysis of binding energy, predicted inhibition constant, and hydrophobic/hydrophilic interactions of ligands with target receptors revealed acetylcholinesterase as most promising, while c-Jun N-terminal kinase was recognized as the least favorable anti-Alzheimer’s drug target. Common structural requirements include hydrogen bond donor/acceptor area, hydrophobic domain, carbon spacer, and distal hydrophobic domain flanked by hydrogen bond donor/acceptor moieties. In addition, drug-likeness score and molecular properties responsible for a good pharmacokinetic profile were calculated by Osiris property explorer and Molinspiration online toolkit, respectively. None of the compounds violated Lipinski’s rule of five, making them potentially promising drug candidates for the treatment of Alzheimer’s disease. Dove Medical Press 2014-10-23 /pmc/articles/PMC4211852/ /pubmed/25364231 http://dx.doi.org/10.2147/DDDT.S67778 Text en © 2014 Azam et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Azam, Faizul Amer, Abdualrahman M Abulifa, Abdullah R Elzwawi, Mustafa M Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation |
title | Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation |
title_full | Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation |
title_fullStr | Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation |
title_full_unstemmed | Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation |
title_short | Ginger components as new leads for the design and development of novel multi-targeted anti-Alzheimer’s drugs: a computational investigation |
title_sort | ginger components as new leads for the design and development of novel multi-targeted anti-alzheimer’s drugs: a computational investigation |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211852/ https://www.ncbi.nlm.nih.gov/pubmed/25364231 http://dx.doi.org/10.2147/DDDT.S67778 |
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