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Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders

Neurodegenerative disorders, such as Alzheimer’s disease (AD), negatively affect the economic and psychological system. For AD, there is still a lack of disease-altering treatments and promising cures due to its complex pathophysiology. In this study, we computationally screened the natural database...

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Autores principales: Iqbal, Danish, Alsaweed, Mohammed, Jamal, Qazi Mohammad Sajid, Asad, Mohammad Rehan, Rizvi, Syed Mohd Danish, Rizvi, Moattar Raza, Albadrani, Hind Muteb, Hamed, Munerah, Jahan, Sadaf, Alyenbaawi, Hadeel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669353/
https://www.ncbi.nlm.nih.gov/pubmed/38002295
http://dx.doi.org/10.3390/biom13111613
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author Iqbal, Danish
Alsaweed, Mohammed
Jamal, Qazi Mohammad Sajid
Asad, Mohammad Rehan
Rizvi, Syed Mohd Danish
Rizvi, Moattar Raza
Albadrani, Hind Muteb
Hamed, Munerah
Jahan, Sadaf
Alyenbaawi, Hadeel
author_facet Iqbal, Danish
Alsaweed, Mohammed
Jamal, Qazi Mohammad Sajid
Asad, Mohammad Rehan
Rizvi, Syed Mohd Danish
Rizvi, Moattar Raza
Albadrani, Hind Muteb
Hamed, Munerah
Jahan, Sadaf
Alyenbaawi, Hadeel
author_sort Iqbal, Danish
collection PubMed
description Neurodegenerative disorders, such as Alzheimer’s disease (AD), negatively affect the economic and psychological system. For AD, there is still a lack of disease-altering treatments and promising cures due to its complex pathophysiology. In this study, we computationally screened the natural database of fungal metabolites against three known therapeutic target proteins of AD. Initially, a pharmacophore-based, drug-likeness category was employed for screening, and it filtered the 14 (A–N) best hits out of 17,544 fungal metabolites. The 14 best hits were docked individually against GSK-3β, the NMDA receptor, and BACE-1 to investigate the potential of finding a multitarget inhibitor. We found that compounds B, F, and L were immuno-toxic, whereas E, H, I, and J had a higher LD(50) dose (5000 mg/kg). Among the examined metabolites, the Bisacremine-C (compound I) was found to be the most active molecule against GSK-3β (ΔG: −8.7 ± 0.2 Kcal/mol, Ki: 2.4 × 10(6) M(−1)), NMDA (ΔG: −9.5 ± 0.1 Kcal/mol, Ki: 9.2 × 10(6) M(−1)), and BACE-1 (ΔG: −9.1 ± 0.2 Kcal/mol, Ki: 4.7 × 10(6) M(−1)). It showed a 25-fold higher affinity with GSK-3β, 6.3-fold higher affinity with NMDA, and 9.04-fold higher affinity with BACE-1 than their native ligands, respectively. Molecular dynamic simulation parameters, such as RMSD, RMSF, Rg, and SASA, all confirmed that the overall structures of the targeted enzymes did not change significantly after binding with Bisacremine-C, and the ligand remained inside the binding cavity in a stable conformation for most of the simulation time. The most significant hydrophobic contacts for the GSK-3β-Bisacremine-C complex are with ILE62, VAL70, ALA83, and LEU188, whereas GLN185 is significant for H-bonds. In terms of hydrophobic contacts, TYR184 and PHE246 are the most important, while SER180 is vital for H-bonds in NMDA-Bisacremine-C. THR232 is the most crucial for H-bonds in BACE-1-Bisacremine-C and ILE110-produced hydrophobic contacts. This study laid a foundation for further experimental validation and clinical trials regarding the biopotency of Bisacremine-C.
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spelling pubmed-106693532023-11-04 Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders Iqbal, Danish Alsaweed, Mohammed Jamal, Qazi Mohammad Sajid Asad, Mohammad Rehan Rizvi, Syed Mohd Danish Rizvi, Moattar Raza Albadrani, Hind Muteb Hamed, Munerah Jahan, Sadaf Alyenbaawi, Hadeel Biomolecules Article Neurodegenerative disorders, such as Alzheimer’s disease (AD), negatively affect the economic and psychological system. For AD, there is still a lack of disease-altering treatments and promising cures due to its complex pathophysiology. In this study, we computationally screened the natural database of fungal metabolites against three known therapeutic target proteins of AD. Initially, a pharmacophore-based, drug-likeness category was employed for screening, and it filtered the 14 (A–N) best hits out of 17,544 fungal metabolites. The 14 best hits were docked individually against GSK-3β, the NMDA receptor, and BACE-1 to investigate the potential of finding a multitarget inhibitor. We found that compounds B, F, and L were immuno-toxic, whereas E, H, I, and J had a higher LD(50) dose (5000 mg/kg). Among the examined metabolites, the Bisacremine-C (compound I) was found to be the most active molecule against GSK-3β (ΔG: −8.7 ± 0.2 Kcal/mol, Ki: 2.4 × 10(6) M(−1)), NMDA (ΔG: −9.5 ± 0.1 Kcal/mol, Ki: 9.2 × 10(6) M(−1)), and BACE-1 (ΔG: −9.1 ± 0.2 Kcal/mol, Ki: 4.7 × 10(6) M(−1)). It showed a 25-fold higher affinity with GSK-3β, 6.3-fold higher affinity with NMDA, and 9.04-fold higher affinity with BACE-1 than their native ligands, respectively. Molecular dynamic simulation parameters, such as RMSD, RMSF, Rg, and SASA, all confirmed that the overall structures of the targeted enzymes did not change significantly after binding with Bisacremine-C, and the ligand remained inside the binding cavity in a stable conformation for most of the simulation time. The most significant hydrophobic contacts for the GSK-3β-Bisacremine-C complex are with ILE62, VAL70, ALA83, and LEU188, whereas GLN185 is significant for H-bonds. In terms of hydrophobic contacts, TYR184 and PHE246 are the most important, while SER180 is vital for H-bonds in NMDA-Bisacremine-C. THR232 is the most crucial for H-bonds in BACE-1-Bisacremine-C and ILE110-produced hydrophobic contacts. This study laid a foundation for further experimental validation and clinical trials regarding the biopotency of Bisacremine-C. MDPI 2023-11-04 /pmc/articles/PMC10669353/ /pubmed/38002295 http://dx.doi.org/10.3390/biom13111613 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Iqbal, Danish
Alsaweed, Mohammed
Jamal, Qazi Mohammad Sajid
Asad, Mohammad Rehan
Rizvi, Syed Mohd Danish
Rizvi, Moattar Raza
Albadrani, Hind Muteb
Hamed, Munerah
Jahan, Sadaf
Alyenbaawi, Hadeel
Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders
title Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders
title_full Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders
title_fullStr Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders
title_full_unstemmed Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders
title_short Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders
title_sort pharmacophore-based screening, molecular docking, and dynamic simulation of fungal metabolites as inhibitors of multi-targets in neurodegenerative disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669353/
https://www.ncbi.nlm.nih.gov/pubmed/38002295
http://dx.doi.org/10.3390/biom13111613
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