Edeildo F Silva-Junior 1 , Paulo H Barcellos Franca 2 , Lucindo J Quintans-Junior 3 , Francisco J B Mendonca-Junior 4 , Luciana Scotti 5 , Marcus T Scotti 5 , Thiago M de Aquino 1 , Joao X de Araujo-Junior 1 Show Affiliations »
Abstract
BACKGROUND: Alzheimer`s disease (AD) affects mainly elderly people over 60 years of age. Currently, there are more than 35 million people with this disease worldwide. The enzyme β-secretase is involved in the processing of the amyloid precursor protein and plays a key role in the physiopathology of AD. The action of some acetylcholinesterase inhibitors (AChEI) as β-secretase inhibitors has been reported. OBJECTIVE: The aim of this study was to highlight the modes of the binding of acetylcholinesterase ligands onto the active site of the β-secretase enzyme. METHODS: Molecular dynamics and docking were used in order to identify pivotal interactions that favor the inhibitory activity and provide a rational basis for planning novel β-secretase inhibitors. Additionally, density functional theory (DFT) was used to provide accurate energy values for the complexes. A mechanistic study of the amide hydrolysis was also performed at the M06/6-31G(d) basis set. RESULTS: Of the 100 AChE inhibitors, 10 were able to interact with Asp32 and/or Asp228 residues from the enzyme BACE-1, suggesting that these could act as multi-target compounds. These inhibitors were selected for DFT studies in order to provide more accurate energy values. Interestingly, the range of energy values (-27.01 to -8.64 kJ mol-1) obtained was in agreement with the anti-AChE activity. The results obtained in the mechanistic study of compound 93 using DFT are in agreement with theoretical studies described in the literature. CONCLUSION: The results reported in this study will advance our understanding of the influence of the distinct chemical structures of inhibitors at the active site and aid the development of new virtual screening protocols to design novel AChE multi-target inhibitors. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
BACKGROUND: Alzheimer`s disease (AD ) affects mainly elderly people over 60 years of age. Currently, there are more than 35 million people with this disease worldwide. The enzyme β-secretase is involved in the processing of the amyloid precursor protein and plays a key role in the physiopathology of AD . The action of some acetylcholinesterase inhibitors (AChEI) as β-secretase inhibitors has been reported. OBJECTIVE: The aim of this study was to highlight the modes of the binding of acetylcholinesterase ligands onto the active site of the β-secretase enzyme. METHODS: Molecular dynamics and docking were used in order to identify pivotal interactions that favor the inhibitory activity and provide a rational basis for planning novel β-secretase inhibitors. Additionally, density functional theory (DFT) was used to provide accurate energy values for the complexes. A mechanistic study of the amide hydrolysis was also performed at the M06/6-31G(d) basis set. RESULTS: Of the 100 AChE inhibitors, 10 were able to interact with Asp32 and/or Asp228 residues from the enzyme BACE-1 , suggesting that these could act as multi-target compounds. These inhibitors were selected for DFT studies in order to provide more accurate energy values. Interestingly, the range of energy values (-27.01 to -8.64 kJ mol-1) obtained was in agreement with the anti-AChE activity. The results obtained in the mechanistic study of compound 93 using DFT are in agreement with theoretical studies described in the literature. CONCLUSION: The results reported in this study will advance our understanding of the influence of the distinct chemical structures of inhibitors at the active site and aid the development of new virtual screening protocols to design novel AChE multi-target inhibitors. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Entities: Chemical
Disease
Gene
Species
Keywords:
Alzheimer`s disease; DFT; acetylcholinesterase.; dynamic simulations; molecular docking; β-secretase
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Year: 2017
PMID： 28382866 DOI： 10.2174/1573409913666170406150905
Source DB: PubMed Journal: Curr Comput Aided Drug Des ISSN： 1573-4099 Impact factor: 1.606