Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor

Background Human estrogen receptor alpha (ER alpha), which is known to play a role in mediating cell proliferation, metastasis, and resistance to apoptosis, is one of the targets of breast cancer therapies. Alpha mangostin (AM) is an active xanthone compound from Garcinia mangostana L. which has act...

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Main Authors: Setyawati, Luthfi Utami, Parlan, Fateen Izzah Haziqah, Ikram, Nur Kusaira Khairul, Yusuf, Muhammad, Muchtaridi, Muchtaridi
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Published: Bentham Science Publishers 2024
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Online Access:http://eprints.um.edu.my/45891/
https://doi.org/10.2174/1570180820666230220122600
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spelling my.um.eprints.458912024-11-14T03:12:06Z http://eprints.um.edu.my/45891/ Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor Setyawati, Luthfi Utami Parlan, Fateen Izzah Haziqah Ikram, Nur Kusaira Khairul Yusuf, Muhammad Muchtaridi, Muchtaridi QD Chemistry QH Natural history Background Human estrogen receptor alpha (ER alpha), which is known to play a role in mediating cell proliferation, metastasis, and resistance to apoptosis, is one of the targets of breast cancer therapies. Alpha mangostin (AM) is an active xanthone compound from Garcinia mangostana L. which has activity as an ER alpha inhibitor.Objective This research aims to predict the pharmacokinetic and toxicity, and to study the molecular interactions of AM derivatives with the ER alpha using computer-aided simulation approaches through molecular docking, molecular dynamic, and pharmacophore screening to develop novel anti-breast cancer agents.Methods Marvinsketch and Chimera programs were used to design and optimize the structure of AM and its derivatives. For screening the pharmacokinetic and toxicity profiles, the PreADMET web was used. The AutoDockTools 1.5.6 and LigandScout 4.4.3 Advanced software were used to conduct the molecular docking simulation and pharmacophore screening, respectively, while the molecular dynamic simulation was performed using AMBER 16. The results were visualized by Biovia Discovery Studio.Results Molecular docking using Autodock showed that FAT10 derivate has lower binding free energy (Delta G) (-12.04 kcal/mol) than AM (-8.45 kcal/mol) when docking to ER alpha and both performed the same hydrogen bond with Thr347. These support the results of the MMPBSA calculation on dynamic simulation which shows FAT10 (-58.4767 kcal/mol) has lower Delta G than AM (-42.7041 kcal/mol) and 4-OHT (-49.0821 kcal/mol). The pharmacophore screening results also showed that FAT10 fitted the pharmacophore with a fit score of 47.08.Conclusion From the results, it can be suggested that FAT10 has promising activity as ER alpha antagonist. Further in vitro and in vivo experiments should be carried out to support these in silico studies. Bentham Science Publishers 2024 Article PeerReviewed Setyawati, Luthfi Utami and Parlan, Fateen Izzah Haziqah and Ikram, Nur Kusaira Khairul and Yusuf, Muhammad and Muchtaridi, Muchtaridi (2024) Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor. Letters in Drug Design & Discovery, 21 (6). pp. 1103-1119. ISSN 1570-1808, DOI https://doi.org/10.2174/1570180820666230220122600 <https://doi.org/10.2174/1570180820666230220122600>. https://doi.org/10.2174/1570180820666230220122600 10.2174/1570180820666230220122600
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QD Chemistry
QH Natural history
spellingShingle QD Chemistry
QH Natural history
Setyawati, Luthfi Utami
Parlan, Fateen Izzah Haziqah
Ikram, Nur Kusaira Khairul
Yusuf, Muhammad
Muchtaridi, Muchtaridi
Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor
description Background Human estrogen receptor alpha (ER alpha), which is known to play a role in mediating cell proliferation, metastasis, and resistance to apoptosis, is one of the targets of breast cancer therapies. Alpha mangostin (AM) is an active xanthone compound from Garcinia mangostana L. which has activity as an ER alpha inhibitor.Objective This research aims to predict the pharmacokinetic and toxicity, and to study the molecular interactions of AM derivatives with the ER alpha using computer-aided simulation approaches through molecular docking, molecular dynamic, and pharmacophore screening to develop novel anti-breast cancer agents.Methods Marvinsketch and Chimera programs were used to design and optimize the structure of AM and its derivatives. For screening the pharmacokinetic and toxicity profiles, the PreADMET web was used. The AutoDockTools 1.5.6 and LigandScout 4.4.3 Advanced software were used to conduct the molecular docking simulation and pharmacophore screening, respectively, while the molecular dynamic simulation was performed using AMBER 16. The results were visualized by Biovia Discovery Studio.Results Molecular docking using Autodock showed that FAT10 derivate has lower binding free energy (Delta G) (-12.04 kcal/mol) than AM (-8.45 kcal/mol) when docking to ER alpha and both performed the same hydrogen bond with Thr347. These support the results of the MMPBSA calculation on dynamic simulation which shows FAT10 (-58.4767 kcal/mol) has lower Delta G than AM (-42.7041 kcal/mol) and 4-OHT (-49.0821 kcal/mol). The pharmacophore screening results also showed that FAT10 fitted the pharmacophore with a fit score of 47.08.Conclusion From the results, it can be suggested that FAT10 has promising activity as ER alpha antagonist. Further in vitro and in vivo experiments should be carried out to support these in silico studies.
format Article
author Setyawati, Luthfi Utami
Parlan, Fateen Izzah Haziqah
Ikram, Nur Kusaira Khairul
Yusuf, Muhammad
Muchtaridi, Muchtaridi
author_facet Setyawati, Luthfi Utami
Parlan, Fateen Izzah Haziqah
Ikram, Nur Kusaira Khairul
Yusuf, Muhammad
Muchtaridi, Muchtaridi
author_sort Setyawati, Luthfi Utami
title Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor
title_short Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor
title_full Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor
title_fullStr Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor
title_full_unstemmed Molecular Dynamic Simulation and 3d-pharmacophore Modeling of Alpha Mangostin and Its Derivatives against Estrogen Alpha Receptor
title_sort molecular dynamic simulation and 3d-pharmacophore modeling of alpha mangostin and its derivatives against estrogen alpha receptor
publisher Bentham Science Publishers
publishDate 2024
url http://eprints.um.edu.my/45891/
https://doi.org/10.2174/1570180820666230220122600
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