Judul: Identification of Bioactive Compounds of Hemiplecta humphreysiana Lea, 1840 Mucus and Its Potential as An Inhibitors of Tyrosinase and Elastase In Silico
Abstrak: Lendir dari beberapa spesies keong telah diketahui bioaktivitasnya sebagai anti-tirosinase dan anti-elastase. Namun, keong darat spesies Hemiplecta humphreysiana Lea, 1840 native Indonesia belum diketahui potensi bioaktivitasnya sebagai inhibitor tirosinase dan elastase. Penelitian ini bertujuan mengidentifikasi senyawa bioaktif lendir H. humphreysiana Lea, 1840 serta memprediksi bioaktivitasnya sebagai inhibitor tirosinase dan elastase secara in silico. Metode penelitian meliputi produksi lendir keong, identifikasi senyawa bioaktif dengan instrumen UPLC-MS/MS, preparasi ligan dan reseptor, validasi penambatan molekuler, penambatan molekuler dengan Autodock Vina, visualisasi dan analisis interaksi molekul, serta prediksi bioavailabilitas dan toksisitas ligan. Hasil penelitian menunjukkan dari 34 senyawa bioaktif lendir H. humphreysiana Lea, 1840 hasil analisis UPLC-MS/MS, terdapat 12 dan 11 senyawa masing-masing berpotensi menginhibisi tirosinase dan elastase. Indoleacrylic acid dan withanone masing-masing merupakan senyawa potensial terbaik sebagai inhibitor tirosinase dan elastase, Mucus from several species of snails has been known to have bioactivies as anti-tyrosinase and anti-elastase. However, the land snail species Hemiplecta humphreysiana Lea, 1840, a native Indonesian snail, is not yet known for its potential bioactivity as a tyrosinase and elastase inhibitors. This study aimed to identify bioactive compounds in the H. humphreysiana Lea, 1840 mucus and to predict their bioactivities as tyrosinase and elastase inhibitors in silico. Research methods included production of snail mucus, identification of bioactive compounds using UPLC-MS/MS instrument, ligand and receptors preparation, validation of molecular docking, molecular docking with Autodock Vina, visualization and molecular interaction analysis, followed by bioavailability and toxicity ligand prediction. The results showed out of 34 bioactive compounds in the H. humphreysiana Lea, 1840 mucus from UPLC-MS/MS analysis, are respectively 13 and 12 potential tyrosinase and elastase inhibitors compounds. Indoleacrylic acid and withanone, respectively, are the best potential compounds as tyrosinase and elastase inhibitors
Keyword: elastase, Hemiplecta humphreysiana mucus, in silico, tyrosinase, UPLC-MS/MS

Judul: Potensi Senyawa Aktif dalam Biji Mahoni Berdaun Lebar (Swietenia macrophylla) sebagai Inhibitor α-Glukosidase dan α-Amilase secara In silico
Abstrak: 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.
Keyword: α-amylase, α-glucosidase, diabetes, molecular docking, Swietenia macrophylla

Judul: Implementasi Space Time Composite (STC) Data Model Menggunakan Model Data Relasional
Abstrak: The data model is a concept that describes the data stored in the database and the relationship between the data to the user in logic. Development of data models is very important in the design of the database as the basis of the stage of database design to be made. This study aims to apply the concept of Space Time Composite (STC) on the Model Data storage vector data types that can store enough information and describes the process of drafting objects and objects spatiotemporal evolution over time. From the results of the test queries on the data model that have been created, queries in a system are acquired that can help display the information preparation of objects from time to time and know the history of the object polygon and arc that has undergone changes in topology.
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