Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process

<div><p>The BRAF gene is responsible for transferring signals from outside of the cell to inside of the nucleus by converting a protein namely B-Raf through the RAS/MAPK pathway. This pathway contribute to cell division, proliferation, migration, and apoptotic cell death of human and ani...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: F. A. Dain Md Opo (18418845) (author)
مؤلفون آخرون: Ahad Amer Alsaiari (13902165) (author), Mohammad Habibur Rahman Molla (18418848) (author), Md Afsar Ahmed Sumon (18418851) (author), Khaled A. Yaghmour (13902174) (author), Foysal Ahammad (9286524) (author), Farhan Mohammad (256409) (author), Jesus Simal-Gandara (10918888) (author)
منشور في: 2022
الموضوعات:
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author F. A. Dain Md Opo (18418845)
author2 Ahad Amer Alsaiari (13902165)
Mohammad Habibur Rahman Molla (18418848)
Md Afsar Ahmed Sumon (18418851)
Khaled A. Yaghmour (13902174)
Foysal Ahammad (9286524)
Farhan Mohammad (256409)
Jesus Simal-Gandara (10918888)
author2_role author
author
author
author
author
author
author
author_facet F. A. Dain Md Opo (18418845)
Ahad Amer Alsaiari (13902165)
Mohammad Habibur Rahman Molla (18418848)
Md Afsar Ahmed Sumon (18418851)
Khaled A. Yaghmour (13902174)
Foysal Ahammad (9286524)
Farhan Mohammad (256409)
Jesus Simal-Gandara (10918888)
author_role author
dc.creator.none.fl_str_mv F. A. Dain Md Opo (18418845)
Ahad Amer Alsaiari (13902165)
Mohammad Habibur Rahman Molla (18418848)
Md Afsar Ahmed Sumon (18418851)
Khaled A. Yaghmour (13902174)
Foysal Ahammad (9286524)
Farhan Mohammad (256409)
Jesus Simal-Gandara (10918888)
dc.date.none.fl_str_mv 2022-10-04T03:00:00Z
dc.identifier.none.fl_str_mv 10.3389/fchem.2022.986376
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Identification_of_novel_natural_drug_candidates_against_BRAF_mutated_carcinoma_An_integrative_in-silico_structure-based_pharmacophore_modeling_and_virtual_screening_process/25659105
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Chemical sciences
Analytical chemistry
pharmacophore modeling
virtual screening
molecular docking
molecular dynamics simulation
BRAF
B-Raf
dc.title.none.fl_str_mv Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>The BRAF gene is responsible for transferring signals from outside of the cell to inside of the nucleus by converting a protein namely B-Raf through the RAS/MAPK pathway. This pathway contribute to cell division, proliferation, migration, and apoptotic cell death of human and animal. Mutation in this gene may cause the development of several cancers, including lung, skin, colon, and neuroblastoma. Currently, a few available drugs are being used that has developed by targeting the BRAF mutated protein, and due to the toxic side effects, patients suffer a lot during their treatment. Therefore this study aimed to identify potentially lead compounds that can target and block the expression of BRAF and subsequently inhibit the cancer. The hits were generated through the pharmacophore model-based virtual screening, molecular docking, pharmacohore model validation, ADME (absorption, distribution, metabolism, and excretion) analysis molecular dynamics (MD) simulation to find more suitable candidate against the overexpress BRAF gene. The pharmacophore based screening initially identified 14 k possible hits from online database which were further screened by ligand scout advance software to get hit compound. Based on molecular docking score of ZINC70454679 (-10.6 kcal/mol), ZINC253500968 (-9.4 kcal/mol), ZINC106887736 (-8.6 kcal/mol), and ZINC107434492 (-8.1 kcal/mol), pharmacophore feature and toxicity evaluation, we selected four possible lead compounds. The dynamic simulation with Schrodinger Maestro software was used to determine the stability of the potential lead candidates with target protein (PDB ID: 5VAM). The results showed that the newly obtained four compounds were more stable than the control ligand (Pub Chem ID: 90408826). The current results showed that the ZINC70454679, ZINC253500968, ZINC106887736, and ZINC107434492 compounds may be able to work against several cancers through targeting the BRAF overexpressed gene. To develop a novel drug candidate, however the evaluation of the web lab based experimental work are necessary to evaluate the efficiency of the each compound against the BRAF target gene.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Chemistry<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/10.3389/fchem.2022.986376" target="_blank">https://dx.doi.org/10.3389/fchem.2022.986376</a></p>
eu_rights_str_mv openAccess
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network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/25659105
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spelling Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening processF. A. Dain Md Opo (18418845)Ahad Amer Alsaiari (13902165)Mohammad Habibur Rahman Molla (18418848)Md Afsar Ahmed Sumon (18418851)Khaled A. Yaghmour (13902174)Foysal Ahammad (9286524)Farhan Mohammad (256409)Jesus Simal-Gandara (10918888)Chemical sciencesAnalytical chemistrypharmacophore modelingvirtual screeningmolecular dockingmolecular dynamics simulationBRAFB-Raf<div><p>The BRAF gene is responsible for transferring signals from outside of the cell to inside of the nucleus by converting a protein namely B-Raf through the RAS/MAPK pathway. This pathway contribute to cell division, proliferation, migration, and apoptotic cell death of human and animal. Mutation in this gene may cause the development of several cancers, including lung, skin, colon, and neuroblastoma. Currently, a few available drugs are being used that has developed by targeting the BRAF mutated protein, and due to the toxic side effects, patients suffer a lot during their treatment. Therefore this study aimed to identify potentially lead compounds that can target and block the expression of BRAF and subsequently inhibit the cancer. The hits were generated through the pharmacophore model-based virtual screening, molecular docking, pharmacohore model validation, ADME (absorption, distribution, metabolism, and excretion) analysis molecular dynamics (MD) simulation to find more suitable candidate against the overexpress BRAF gene. The pharmacophore based screening initially identified 14 k possible hits from online database which were further screened by ligand scout advance software to get hit compound. Based on molecular docking score of ZINC70454679 (-10.6 kcal/mol), ZINC253500968 (-9.4 kcal/mol), ZINC106887736 (-8.6 kcal/mol), and ZINC107434492 (-8.1 kcal/mol), pharmacophore feature and toxicity evaluation, we selected four possible lead compounds. The dynamic simulation with Schrodinger Maestro software was used to determine the stability of the potential lead candidates with target protein (PDB ID: 5VAM). The results showed that the newly obtained four compounds were more stable than the control ligand (Pub Chem ID: 90408826). The current results showed that the ZINC70454679, ZINC253500968, ZINC106887736, and ZINC107434492 compounds may be able to work against several cancers through targeting the BRAF overexpressed gene. To develop a novel drug candidate, however the evaluation of the web lab based experimental work are necessary to evaluate the efficiency of the each compound against the BRAF target gene.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Chemistry<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/10.3389/fchem.2022.986376" target="_blank">https://dx.doi.org/10.3389/fchem.2022.986376</a></p>2022-10-04T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fchem.2022.986376https://figshare.com/articles/journal_contribution/Identification_of_novel_natural_drug_candidates_against_BRAF_mutated_carcinoma_An_integrative_in-silico_structure-based_pharmacophore_modeling_and_virtual_screening_process/25659105CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/256591052022-10-04T03:00:00Z
spellingShingle Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
F. A. Dain Md Opo (18418845)
Chemical sciences
Analytical chemistry
pharmacophore modeling
virtual screening
molecular docking
molecular dynamics simulation
BRAF
B-Raf
status_str publishedVersion
title Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
title_full Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
title_fullStr Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
title_full_unstemmed Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
title_short Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
title_sort Identification of novel natural drug candidates against BRAF mutated carcinoma; An integrative in-silico structure-based pharmacophore modeling and virtual screening process
topic Chemical sciences
Analytical chemistry
pharmacophore modeling
virtual screening
molecular docking
molecular dynamics simulation
BRAF
B-Raf