{"title":"α-Mangostin conjugated amino acids as estrogen receptor alpha (ERα) inhibitor.","authors":"Hanggara Arifian, Rani Maharani, Sandra Megantara, Amirah Mohd Gazzali, Muchtaridi Muchtaridi","doi":"10.1080/07391102.2025.2521413","DOIUrl":null,"url":null,"abstract":"<p><p>α-Mangostin is a xanthone-derived compound, which can be isolated from the mangosteen's pericarps. It exhibits potential as an anticancer agent and is known to suppress the growth of breast cancer cells. One of the known drawbacks of utilizing α-mangostin is its low bioavailability and to overcome this problem, structure modifications was performed by conjugating α-mangostin with specific amino acids. Molecular modeling of α-mangostin conjugates with amino acids has been systematically conducted. The pharmacophore modeling results using the Ligand-Based Drug Design approach showed that all conjugates conform to the pharmacophore features. The docking simulation results highlight the ability of Am1Leu conjugate to demonstrate interactions with estragon receptor-α (ERα) with a binding energy of -10.74 kcal/mol. Further analysis through molecular dynamics simulations over a 200 ns timeframe supports the efficacy of Am1Leu against ERα. According to the MMPBSA method for molecular dynamics modeling, the binding affinities of 4-hydroxytamoxifen (ΔG Total = -53.25 kcal/mol) and Am1Leu (ΔG Total = -53.33 kcal/mol) were found to be comparable. This suggests that Am1Leu (leucine at C6 hydroxy group) exhibits a similar binding affinity towards ERα as 4-hydroxytamoxifen. The evidence obtained from this study suggested the viability of Am1Leu as a candidate with a good affinity towards ERα for the targeting of breast cancer.</p>","PeriodicalId":15272,"journal":{"name":"Journal of Biomolecular Structure & Dynamics","volume":" ","pages":"1-12"},"PeriodicalIF":2.7000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomolecular Structure & Dynamics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/07391102.2025.2521413","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
α-Mangostin is a xanthone-derived compound, which can be isolated from the mangosteen's pericarps. It exhibits potential as an anticancer agent and is known to suppress the growth of breast cancer cells. One of the known drawbacks of utilizing α-mangostin is its low bioavailability and to overcome this problem, structure modifications was performed by conjugating α-mangostin with specific amino acids. Molecular modeling of α-mangostin conjugates with amino acids has been systematically conducted. The pharmacophore modeling results using the Ligand-Based Drug Design approach showed that all conjugates conform to the pharmacophore features. The docking simulation results highlight the ability of Am1Leu conjugate to demonstrate interactions with estragon receptor-α (ERα) with a binding energy of -10.74 kcal/mol. Further analysis through molecular dynamics simulations over a 200 ns timeframe supports the efficacy of Am1Leu against ERα. According to the MMPBSA method for molecular dynamics modeling, the binding affinities of 4-hydroxytamoxifen (ΔG Total = -53.25 kcal/mol) and Am1Leu (ΔG Total = -53.33 kcal/mol) were found to be comparable. This suggests that Am1Leu (leucine at C6 hydroxy group) exhibits a similar binding affinity towards ERα as 4-hydroxytamoxifen. The evidence obtained from this study suggested the viability of Am1Leu as a candidate with a good affinity towards ERα for the targeting of breast cancer.
期刊介绍:
The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.