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Identification of BACE1 inhibitors from Panax ginseng saponins-An Insilco approach.
- Source :
-
Computers in biology and medicine [Comput Biol Med] 2013 Sep; Vol. 43 (8), pp. 1037-44. Date of Electronic Publication: 2013 May 28. - Publication Year :
- 2013
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Abstract
- BACE1, a β secretase candidate enzyme, initiates the Alzheimer's disease (AD) pathogenesis via amyloid β (Aβ) peptide production serving as a potential therapeutic target. Previous experimental evidence suggested that ginsenosides, a key component of Panax ginseng, are effective against AD. In this study, we implemented a molecular modeling method to reveal the inhibitory action of ginsenosides on BACE1 activity. We selected 12 ginsenosides and performed molecular docking studies to evaluate its interaction with the BACE1 active site, which is essential for inhibition. Further ADMET filtration was applied to find drug-like molecules with a specific ability to cross blood brain barrier (BBB), and to determine toxicity. The BACE1-ginsenosides complex was further subjected to a molecular dynamics simulation to study the stability of the complex and its hydrogen bond interactions. In summary, our findings show ginsenosides CK, F1, Rh1 and Rh2 are potential BACE1 inhibitors from Panax ginseng.<br /> (Copyright © 2013 Elsevier Ltd. All rights reserved.)
- Subjects :
- Amyloid Precursor Protein Secretases chemistry
Amyloid Precursor Protein Secretases metabolism
Aspartic Acid Endopeptidases chemistry
Aspartic Acid Endopeptidases metabolism
Catalytic Domain
Drug Stability
Enzyme Inhibitors metabolism
Ginsenosides metabolism
Humans
Hydrogen Bonding
Thermodynamics
Amyloid Precursor Protein Secretases antagonists & inhibitors
Aspartic Acid Endopeptidases antagonists & inhibitors
Enzyme Inhibitors chemistry
Enzyme Inhibitors pharmacology
Ginsenosides chemistry
Ginsenosides pharmacology
Molecular Docking Simulation
Molecular Dynamics Simulation
Panax chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1879-0534
- Volume :
- 43
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Computers in biology and medicine
- Publication Type :
- Academic Journal
- Accession number :
- 23816176
- Full Text :
- https://doi.org/10.1016/j.compbiomed.2013.05.009