Judul: Studi In silico Senyawa Alami Kulit Kayu Gmelina arborea terhadap RNA-dependent RNA polymerase SARS-CoV-2
Abstrak: SARS-CoV-2 menyebabkan sindrom pernafasan akut dan telah menginfeksi banyak korban dari berbagai negara. SARS-CoV-2 menggunakan RNA-dependent RNA polymerase untuk melakukan replikasi dan transkripsi genom virus. Tanaman gmelina dapat dimanfaatkan sebagai obat tradisional. Penelitian bertujuan menganalisis interaksi senyawa alami kulit kayu gmelina (Gmelina arborea Roxb) dalam menghambat enzim RNA-dependent RNA polymerase SARS-CoV-2 melalui penambatan molekuler serta menganalisis sifat farmakokinetik dan toksisitas senyawa. Gmelinol (∆G -6.192 kkal/mol) lebih unggul dibanding ligan uji lainnya berdasarkan nilai energi bebas ikatan, interaksi dengan residu aktif, dan analisis Lipinski. Hasil prediksi ADME menyatakan bahwa gmelinol berperan sebagai substrat dan inhibitor CYP3A4. Hasil prediksi toksisitas oral menyatakan bahwa gmelinol termasuk senyawa kelas IV yang berarti berbahaya jika tertelan., SARS-CoV-2 causes acute respiratory syndrome and has infected many people in various countries. SARS-CoV-2 uses an RNA-dependent RNA polymerase enzyme for replication and transcription of the viral genome. Gmelina plants can be used as traditional medicine. This study aimed to analyze the interaction of natural compounds in the gmelina bark (Gmelina arborea Roxb) in inhibiting the enzyme of SARS-CoV-2 RNA-dependent RNA polymerase by molecular docking, analyze the pharmacokinetic properties, and toxicity. Gmelinol (∆G -6.192 kcal/mol) was better than other ligands based on binding free energy, interactions with active residues, and Lipinski analysis. ADME prediction stated that gmelinol acts as a substrate and inhibitor of CYP3A4. Oral toxicity prediction stated that gmelinol is a class IV compound which harmful if swallowed.
Keyword: gmelina, gmelinol, molecular docking, RNA-dependent RNA polymerase, SARS-CoV-2

Judul: Analisis In Silico Senyawa Aktif Kulit Kayu Gmelina (Gmelina arborea) Terhadap Penghambatan 3C-like Protease SARS-CoV-2 EPI_ISL_467376
Abstrak: SARS-CoV-2 merupakan virus yang saat ini menyebar ke seluruh dunia, salah satunya yaitu Indonesia. Virus SARS-CoV-2 dapat menyebabkan penyakit COVID-19 dengan berbagai gejala dan dapat menyebabkan kematian. Replikasi virus ini disebabkan adanya aktivitas protein 3C-like Protease. Potensi penghambatan 3C-like Protease oleh senyawa aktif pada kulit kayu gmelina dapat dianalisis secara in silico untuk melihat interaksi senyawa dengan reseptor. Penelitian ini bertujuan mempelajari interaksi antara senyawa aktif kulit kayu gmelina (Gmelina arborea) dalam menghambat reseptor 3C-like Protease SARS-CoV-2 EPI_ISL_467376 melalui uji in silico dengan parameter energi bebas Gibbs (ΔG), konstanta inhibisi, ikatan hidrogen, dan interaksi hidrofobik. Potensi terbaik terlihat pada Balanophonin dengan ΔG -6.6 kkal/mol dan Ki -14.43 μM. Ikatan hidrogen yang dihasilkan sebanyak satu dan interaksi hidrofobik yang dihasilkan sebanyak 15. Berdasarkan parameter tersebut, kulit kayu gmelina berpotensi dalam menghambat 3C-like Protease SARS-CoV-2 EPI_ISL_467376. Kata kunci: Molecular docking, SARS-CoV-2, senyawa aktif, 3C-like Protease, SARS-CoV-2 was a virus that spread all over the world nowadays, one of them was Indonesia. The SARS-CoV-2 virus was able to cause COVID-19 disease with various symptoms and was able to cause death. The replication of this virus was due to protein of 3C-like Protease activity. Inhibition potential of 3C-like Protease by active compounds on gmelina’s bark can be analyzed in silico to see compounds interaction with the receptor. This research aimed to study the interaction between active compounds of gmelina’s bark (Gmelina arborea) in inhibiting the receptor of SARS-CoV-2 3C-like Protease from Indonesia with the parameter of Gibbs free energy (ΔG), inhibition constant, hydrogen bond, and hydrophobic interaction. Best potential was seen on Balanophonin with ΔG -6.6 kcal/mol and Ki -14.43 μM. Based on that parameter, gmelina’s bark had the potential in inhibiting SARS-CoV-2 3C-like Protease from Indonesia. Keywords: Active compounds, molecular docking, SARS-CoV-2, 3C-like Protease
Keyword: Active compounds, Molecular docking, SARS-CoV-2, 3C-like Protease

Judul: Asymptotic Distribution of Estimator for the Intensity Function of a Doubly Periodic Poisson Process
Abstrak: In this manuscript, estimation of the intensity function of a doubly periodic Poisson process is discussed. It is assumed that only a single realization of the Poisson process is observed in a bounded window [0,n]. It is also assumed that the period of the intensity function is known. The rate of consistency and asymptotic normality of the estimator are formulated. Finally, a confidence interval for the local intensity function is also formulated.
Keyword: