M. H. Widyananda, S. Pratama, A. Ansori, Y. Antonius, V. D. Kharisma, Ahmad Affan Ali Murtadlo, V. Jakhmola, Maksim Rebezov, M. Khayrullin, Marina Derkho, Emdad Ullah, R. J. Susilo, S. Hayaza, A. Nugraha, Annise Proboningrat, Amaq Fadholly, M. Sibero, Rahadian Zainul
{"title":"Quercetin as an anticancer candidate for glioblastoma multiforme by targeting AKT1, MMP9, ABCB1, and VEGFA: An in silico study","authors":"M. H. Widyananda, S. Pratama, A. Ansori, Y. Antonius, V. D. Kharisma, Ahmad Affan Ali Murtadlo, V. Jakhmola, Maksim Rebezov, M. Khayrullin, Marina Derkho, Emdad Ullah, R. J. Susilo, S. Hayaza, A. Nugraha, Annise Proboningrat, Amaq Fadholly, M. Sibero, Rahadian Zainul","doi":"10.33640/2405-609x.3312","DOIUrl":null,"url":null,"abstract":"Abstract Quercetin, a natural compound present in various fruits and vegetables, shows promise as a potential inhibitor for glioblastoma multiforme (GBM) development. This study aims to examine the anti-GBM potential of Quercetin. The protein target of Quercetin is identified and analyzed using databases such as NCBI, SEA, CTD, and STRING. Protein-protein interaction (PPI) and functional annotation are carried out based on the obtained target proteins. Molecular docking and dynamics simulations are employed using AutoDock Vina and WebGro tools to analyze the interaction between Quercetin and its target proteins. The prediction of protein targets reveals that Quercetin directly targets four proteins associated with GBM. In conclusion, Quercetin demonstrates potential as an anti-GBM agent, specifically by targeting","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Karbala International Journal of Modern Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33640/2405-609x.3312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract Quercetin, a natural compound present in various fruits and vegetables, shows promise as a potential inhibitor for glioblastoma multiforme (GBM) development. This study aims to examine the anti-GBM potential of Quercetin. The protein target of Quercetin is identified and analyzed using databases such as NCBI, SEA, CTD, and STRING. Protein-protein interaction (PPI) and functional annotation are carried out based on the obtained target proteins. Molecular docking and dynamics simulations are employed using AutoDock Vina and WebGro tools to analyze the interaction between Quercetin and its target proteins. The prediction of protein targets reveals that Quercetin directly targets four proteins associated with GBM. In conclusion, Quercetin demonstrates potential as an anti-GBM agent, specifically by targeting