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dc.contributor.authorKris Prasetyanti, Intan-
dc.contributor.authorSukardiman, Sukardiman-
dc.contributor.authorSuharjono, Suharjono-
dc.date.accessioned2024-11-09T02:32:38Z-
dc.date.available2024-11-09T02:32:38Z-
dc.date.issued2021-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/7592-
dc.description.abstractBackground: Diabetes mellitus (DM) is a complex chronic disease with hyperglycemia, which is glucose levels above normal whose number of sufferers is increasing. By inhibiting the human maltase-glucoamylase enzyme which is included in the starch-digestion pathway are used to delay glucose production and thus aid in the treatment of type II diabetes. Aims and Methods: To analyze the potential of mangostin derivatives (alpha-mangostin, betamangostin, gamma-mangostin) and sinensetin as anti-diabetes through ADMET prediction and in silico tests against human maltase-glucoamylase targets using the docking method with miglitol was used as a control. Result: The ligands ɑ, β, γ-mangostin and sinensetin have good interactions with macromolecules and form hydrogen bonds also van der Waals on the macromolecule active side of human maltase-glucoamylase. Conclusion: The ADMET of mangostin derivatives (ɑ, β, and γ), and sinensetin can be predicted by the pkCSM online tool, and they showed good affinity on maltase-glucoamylase target compared to standard drugs like miglitol. Key words: Mangostin derivatives, Sinensetin, Molecular docking, Maltase-glucoamylase, Anti-diabetes.en_US
dc.subjectMangostin derivativesen_US
dc.subjectSinensetinen_US
dc.subjectMolecular dockingen_US
dc.subjectMaltase-glucoamylaseen_US
dc.subjectAnti-diabetesen_US
dc.titleADMET Prediction and In silico Analysis of Mangostin Derivatives and Sinensetin on Maltase-Glucoamylase Target for Searching Anti-Diabetes Drug Candidatesen_US
dc.typeArticleen_US
Appears in Collections:VOL 13 NO 4 2021

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