Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma

<div><p>The mortality of cancer patients with neuroblastoma is increasing due to the limited availability of specific treatment options. Few drug candidates for combating neuroblastoma have been developed, and identifying novel therapeutic candidates against the disease is an urgent issu...

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Main Author: F A Dain Md Opo (14123109) (author)
Other Authors: Saleh Alkarim (5914538) (author), Ghadeer I. Alrefaei (18421455) (author), Mohammad Habibur Rahman Molla (13902168) (author), Nouf H. Alsubhi (18421458) (author), Faisal Alzahrani (16940155) (author), Foysal Ahammad (9286524) (author)
Published: 2022
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_version_ 1864513518652358656
author F A Dain Md Opo (14123109)
author2 Saleh Alkarim (5914538)
Ghadeer I. Alrefaei (18421455)
Mohammad Habibur Rahman Molla (13902168)
Nouf H. Alsubhi (18421458)
Faisal Alzahrani (16940155)
Foysal Ahammad (9286524)
author2_role author
author
author
author
author
author
author_facet F A Dain Md Opo (14123109)
Saleh Alkarim (5914538)
Ghadeer I. Alrefaei (18421455)
Mohammad Habibur Rahman Molla (13902168)
Nouf H. Alsubhi (18421458)
Faisal Alzahrani (16940155)
Foysal Ahammad (9286524)
author_role author
dc.creator.none.fl_str_mv F A Dain Md Opo (14123109)
Saleh Alkarim (5914538)
Ghadeer I. Alrefaei (18421455)
Mohammad Habibur Rahman Molla (13902168)
Nouf H. Alsubhi (18421458)
Faisal Alzahrani (16940155)
Foysal Ahammad (9286524)
dc.date.none.fl_str_mv 2022-10-13T03:00:00Z
dc.identifier.none.fl_str_mv 10.3390/cimb44100329
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Pharmacophore-Model-Based_Virtual-Screening_Approaches_Identified_Novel_Natural_Molecular_Candidates_for_Treating_Human_Neuroblastoma/25663836
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Microbiology
neuroblastoma
MYCN
Brd4
molecular docking
pharmacophore model
side effects
dynamic simulation
dc.title.none.fl_str_mv Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>The mortality of cancer patients with neuroblastoma is increasing due to the limited availability of specific treatment options. Few drug candidates for combating neuroblastoma have been developed, and identifying novel therapeutic candidates against the disease is an urgent issue. It has been found that muc-N protein is amplified in one-third of human neuroblastomas and expressed as an attractive drug target against the disease. The myc-N protein interferes with the bromodomain and extraterminal (BET) family proteins. Pharmacologically inhibition of the protein potently depletes MYCN in neuroblastoma cells. BET inhibitors target MYCN transcription and show therapeutic efficacy against neuroblastoma. Therefore, the study aimed to identify potential inhibitors against the BET family protein, specifically Brd4 (brodamine-containing protein 4), to hinder the activity of neuroblastoma cells. To identify effective molecular candidates against the disease, a structure-based pharmacophore model was created for the binding site of the Brd4 protein. The pharmacophore model generated from the protein Brd4 was validated to screen potential natural active compounds. The compounds identified through the pharmacophore-model-based virtual-screening process were further screened through molecular docking, ADME (absorption, distribution, metabolism, and excretion), toxicity, and molecular dynamics (MD) simulation approach. The pharmacophore-model-based screening process initially identified 136 compounds, further evaluated based on molecular docking, ADME analysis, and toxicity approaches, identifying four compounds with good binding affinity and lower side effects. The stability of the selected compounds was also confirmed by dynamic simulation and molecular mechanics with generalized Born and surface area solvation (MM-GBSA) methods. Finally, the study identified four natural lead compounds, ZINC2509501, ZINC2566088, ZINC1615112, and ZINC4104882, that will potentially inhibit the activity of the desired protein and help to fight against neuroblastoma and related diseases. However, further evaluations through in vitro and in vivo assays are suggested to identify their efficacy against the desired protein and disease.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Current Issues in Molecular Biology<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/cimb44100329" target="_blank">https://dx.doi.org/10.3390/cimb44100329</a></p>
eu_rights_str_mv openAccess
id Manara2_f49c438e4d9c1f88f1236615224d88f3
identifier_str_mv 10.3390/cimb44100329
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25663836
publishDate 2022
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rights_invalid_str_mv CC BY 4.0
spelling Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human NeuroblastomaF A Dain Md Opo (14123109)Saleh Alkarim (5914538)Ghadeer I. Alrefaei (18421455)Mohammad Habibur Rahman Molla (13902168)Nouf H. Alsubhi (18421458)Faisal Alzahrani (16940155)Foysal Ahammad (9286524)Biological sciencesMicrobiologyneuroblastomaMYCNBrd4molecular dockingpharmacophore modelside effectsdynamic simulation<div><p>The mortality of cancer patients with neuroblastoma is increasing due to the limited availability of specific treatment options. Few drug candidates for combating neuroblastoma have been developed, and identifying novel therapeutic candidates against the disease is an urgent issue. It has been found that muc-N protein is amplified in one-third of human neuroblastomas and expressed as an attractive drug target against the disease. The myc-N protein interferes with the bromodomain and extraterminal (BET) family proteins. Pharmacologically inhibition of the protein potently depletes MYCN in neuroblastoma cells. BET inhibitors target MYCN transcription and show therapeutic efficacy against neuroblastoma. Therefore, the study aimed to identify potential inhibitors against the BET family protein, specifically Brd4 (brodamine-containing protein 4), to hinder the activity of neuroblastoma cells. To identify effective molecular candidates against the disease, a structure-based pharmacophore model was created for the binding site of the Brd4 protein. The pharmacophore model generated from the protein Brd4 was validated to screen potential natural active compounds. The compounds identified through the pharmacophore-model-based virtual-screening process were further screened through molecular docking, ADME (absorption, distribution, metabolism, and excretion), toxicity, and molecular dynamics (MD) simulation approach. The pharmacophore-model-based screening process initially identified 136 compounds, further evaluated based on molecular docking, ADME analysis, and toxicity approaches, identifying four compounds with good binding affinity and lower side effects. The stability of the selected compounds was also confirmed by dynamic simulation and molecular mechanics with generalized Born and surface area solvation (MM-GBSA) methods. Finally, the study identified four natural lead compounds, ZINC2509501, ZINC2566088, ZINC1615112, and ZINC4104882, that will potentially inhibit the activity of the desired protein and help to fight against neuroblastoma and related diseases. However, further evaluations through in vitro and in vivo assays are suggested to identify their efficacy against the desired protein and disease.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Current Issues in Molecular Biology<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/cimb44100329" target="_blank">https://dx.doi.org/10.3390/cimb44100329</a></p>2022-10-13T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/cimb44100329https://figshare.com/articles/journal_contribution/Pharmacophore-Model-Based_Virtual-Screening_Approaches_Identified_Novel_Natural_Molecular_Candidates_for_Treating_Human_Neuroblastoma/25663836CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/256638362022-10-13T03:00:00Z
spellingShingle Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
F A Dain Md Opo (14123109)
Biological sciences
Microbiology
neuroblastoma
MYCN
Brd4
molecular docking
pharmacophore model
side effects
dynamic simulation
status_str publishedVersion
title Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
title_full Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
title_fullStr Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
title_full_unstemmed Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
title_short Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
title_sort Pharmacophore-Model-Based Virtual-Screening Approaches Identified Novel Natural Molecular Candidates for Treating Human Neuroblastoma
topic Biological sciences
Microbiology
neuroblastoma
MYCN
Brd4
molecular docking
pharmacophore model
side effects
dynamic simulation