High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget Approach

Alzheimer’s disease (AD) is a progressive neurological disorder that affects 50 million people. Despite this, only two classes of medication have been approved by the FDA. Therefore, we have planned to develop therapeutics by multitarget approach. We have explored the library of 2029 natural product...

Full description

Bibliographic Details
Main Authors: Danish Iqbal, Md Tabish Rehman, Abdulaziz Bin Dukhyil, Syed Mohd Danish Rizvi, Mohamed F. Al Ajmi, Bader Mohammed Alshehri, Saeed Banawas, M. Salman Khan, Wael Alturaiki, Mohammed Alsaweed
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Pharmaceuticals
Subjects:
Online Access:https://www.mdpi.com/1424-8247/14/9/937
id doaj-15e57cec86df4ebeb9d6ed9a5458b910
record_format Article
spelling doaj-15e57cec86df4ebeb9d6ed9a5458b9102021-09-26T00:55:58ZengMDPI AGPharmaceuticals1424-82472021-09-011493793710.3390/ph14090937High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget ApproachDanish Iqbal0Md Tabish Rehman1Abdulaziz Bin Dukhyil2Syed Mohd Danish Rizvi3Mohamed F. Al Ajmi4Bader Mohammed Alshehri5Saeed Banawas6M. Salman Khan7Wael Alturaiki8Mohammed Alsaweed9Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi ArabiaDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi ArabiaDepartment of Pharmaceutics, College of Pharmacy, University of Hail, Hail 81442, Saudi ArabiaDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi ArabiaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi ArabiaClinical Biochemistry & Natural Product Research Laboratory, Department of Biosciences, Integral University, Lucknow 226026, IndiaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi ArabiaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi ArabiaAlzheimer’s disease (AD) is a progressive neurological disorder that affects 50 million people. Despite this, only two classes of medication have been approved by the FDA. Therefore, we have planned to develop therapeutics by multitarget approach. We have explored the library of 2029 natural product-like compounds for their multi-targeting potential against AD by inhibiting AChE, BChE (cholinergic pathway) MAO-A, and MOA-B (oxidative stress pathway) through in silico high-throughput screening and molecular dynamics simulation. Based on the binding energy of these target enzymes, approximately 189 compounds exhibited a score of less than −10 kcal/mol against all targets. However, none of the control inhibitors exhibited a binding affinity of less than −10 kcal/mol. Among these, the top 10 hits of compounds against all four targets were selected for ADME-T analysis. As a result, only F0850-4777 exhibited an acceptable range of physicochemical properties, drug-likeness, pharmacokinetics, and suitability for BBB permeation with high GI-A and non-toxic effects. The molecular dynamics study confirmed that F0850-4777 remained inside the binding cavity of targets in a stable conformation throughout the simulation and Prime-MM/GBSA study revealed that van der Waals’ energy (ΔG<sub>vdW</sub>) and non-polar solvation or lipophilic energy (ΔG<sub>Sol_Lipo</sub>) contribute favorably towards the formation of a stable protein–ligand complex. Thus, F0850-4777 could be a potential candidate against multiple targets of two pathophysiological pathways of AD and opens the doors for further confirmation through in vitro and in vivo systems.https://www.mdpi.com/1424-8247/14/9/937Alzheimer’s diseasemultitargetmolecular dynamics simulationsnatural-like compoundsvirtual screening
collection DOAJ
language English
format Article
sources DOAJ
author Danish Iqbal
Md Tabish Rehman
Abdulaziz Bin Dukhyil
Syed Mohd Danish Rizvi
Mohamed F. Al Ajmi
Bader Mohammed Alshehri
Saeed Banawas
M. Salman Khan
Wael Alturaiki
Mohammed Alsaweed
spellingShingle Danish Iqbal
Md Tabish Rehman
Abdulaziz Bin Dukhyil
Syed Mohd Danish Rizvi
Mohamed F. Al Ajmi
Bader Mohammed Alshehri
Saeed Banawas
M. Salman Khan
Wael Alturaiki
Mohammed Alsaweed
High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget Approach
Pharmaceuticals
Alzheimer’s disease
multitarget
molecular dynamics simulations
natural-like compounds
virtual screening
author_facet Danish Iqbal
Md Tabish Rehman
Abdulaziz Bin Dukhyil
Syed Mohd Danish Rizvi
Mohamed F. Al Ajmi
Bader Mohammed Alshehri
Saeed Banawas
M. Salman Khan
Wael Alturaiki
Mohammed Alsaweed
author_sort Danish Iqbal
title High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget Approach
title_short High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget Approach
title_full High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget Approach
title_fullStr High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget Approach
title_full_unstemmed High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer’s Disease through Multitarget Approach
title_sort high-throughput screening and molecular dynamics simulation of natural product-like compounds against alzheimer’s disease through multitarget approach
publisher MDPI AG
series Pharmaceuticals
issn 1424-8247
publishDate 2021-09-01
description Alzheimer’s disease (AD) is a progressive neurological disorder that affects 50 million people. Despite this, only two classes of medication have been approved by the FDA. Therefore, we have planned to develop therapeutics by multitarget approach. We have explored the library of 2029 natural product-like compounds for their multi-targeting potential against AD by inhibiting AChE, BChE (cholinergic pathway) MAO-A, and MOA-B (oxidative stress pathway) through in silico high-throughput screening and molecular dynamics simulation. Based on the binding energy of these target enzymes, approximately 189 compounds exhibited a score of less than −10 kcal/mol against all targets. However, none of the control inhibitors exhibited a binding affinity of less than −10 kcal/mol. Among these, the top 10 hits of compounds against all four targets were selected for ADME-T analysis. As a result, only F0850-4777 exhibited an acceptable range of physicochemical properties, drug-likeness, pharmacokinetics, and suitability for BBB permeation with high GI-A and non-toxic effects. The molecular dynamics study confirmed that F0850-4777 remained inside the binding cavity of targets in a stable conformation throughout the simulation and Prime-MM/GBSA study revealed that van der Waals’ energy (ΔG<sub>vdW</sub>) and non-polar solvation or lipophilic energy (ΔG<sub>Sol_Lipo</sub>) contribute favorably towards the formation of a stable protein–ligand complex. Thus, F0850-4777 could be a potential candidate against multiple targets of two pathophysiological pathways of AD and opens the doors for further confirmation through in vitro and in vivo systems.
topic Alzheimer’s disease
multitarget
molecular dynamics simulations
natural-like compounds
virtual screening
url https://www.mdpi.com/1424-8247/14/9/937
work_keys_str_mv AT danishiqbal highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT mdtabishrehman highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT abdulazizbindukhyil highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT syedmohddanishrizvi highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT mohamedfalajmi highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT badermohammedalshehri highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT saeedbanawas highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT msalmankhan highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT waelalturaiki highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
AT mohammedalsaweed highthroughputscreeningandmoleculardynamicssimulationofnaturalproductlikecompoundsagainstalzheimersdiseasethroughmultitargetapproach
_version_ 1716869526669230080