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      Potensi Senyawa Aktif dalam Biji Mahoni Berdaun Lebar (Swietenia macrophylla) sebagai Inhibitor α-Glukosidase dan α-Amilase secara In silico

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      Date
      2022
      Author
      Azizah, Naila Mutiara
      Tohir, Dudi
      Batubara, Irmanida
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      Abstract
      Penggunaan akarbosa sebagai obat oral antidiabetes menimbulkan beberapa efek samping jika dikonsumsi dalam jangka panjang. Penelitian ini bertujuan memprediksi dan memvalidasi senyawa pada biji mahoni berdaun lebar (S. macrophylla) yang berpotensi sebagai inhibitor α-glukosidase dan α-amilase. Penelitian ini menggunakan metode in silico melalui penambatan molekuler. Ligan uji terpilih berdasarkan parameter ΔG, yaitu senyawa β-sitostenon, 7-hidroksi-2- (4-hidroksi-3-metoksifenil) kroman-4-on), dan 1,4-bis-(3,4,5-trimetoksifenil) tetrahidrofuro (3,4-c) furan sebagai senyawa yang paling berpotensi berdasarkan analisis farmakokinetik. Ketiga senyawa tersebut memenuhi aturan Lipinski, inhibitor lemah terhadap hERG (kardiotoksisitas), non-karsinogenik, dan termasuk dalam kategori III toksisitas oral akut, sehingga dapat diuji lebih lanjut melalui dinamika molekuler untuk mendapatkan parameter kuantitatif yang lebih komprehensif.
       
      The use of acarbose as an oral antidiabetic drug causes several side effects if consumed in the long term. This study aims to predict and validate compounds in broadleaf mahogany (S. macrophylla) seeds that have potential as α-glucosidase and α-amylase inhibitors using in silico approach through molecular docking. There are test ligands selected based on ΔG parameters, namely β-sitostenone, 7-hydroxy-2-(4-hydroxy-3-methoxyphenyl)chroman-4-one), and 1,4-bis-(3,4,5-trimethoxyphenyl)tetrahydrofuro(3,4-c)furan which was further identified as the most potent compounds based on pharmacokinetic analysis. The three compounds meet Lipinski rules, are weak inhibitors of hERG (cardiotoxicity), are non-carcinogenic, and belong to category III acute oral toxicity, therefore they can be further tested through molecular dynamics to obtain more comprehensive quantitative parameters.
       
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      http://repository.ipb.ac.id/handle/123456789/113087
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      • UT - Chemistry [2299]

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