ANALISIS PENAMBATAN MOLEKULER SENYAWA KANDUNGAN BUAH DELIMA (Punica granatum L.) TERHADAP PROTEIN TARGET COVID-19 DAN PREDIKSI PROFIL FARMAKOKINETIKA

ABDULLAH, IQBAL WAHID (2021) ANALISIS PENAMBATAN MOLEKULER SENYAWA KANDUNGAN BUAH DELIMA (Punica granatum L.) TERHADAP PROTEIN TARGET COVID-19 DAN PREDIKSI PROFIL FARMAKOKINETIKA. Skripsi thesis, Universitas Setia Budi.

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Abstract

Covid-19 is caused by infection with Ernstige Akute Respiratoriese Respiratoriese Virus 2 (SARS-CoV-2) and is a worldwide pandemic. There is currently no effective cure for the treatment of Covid-19. This study aims to provide scientific data on pomegranate compounds related to predictions of their activity as an antiviral in Covid-19 based on interactions with Covid-19 target proteins and predictions of pharmacokinetic profiles. The study used molecular tethering methods with pomegranates (Punica granatum L.) as test compounds and 3CLpro, PLpro, RdRp as proteïen teiken Covid-19. Pomegranates have been shown to have antiviral activity in in vitro tests. Empirically it has been used as a traditional medicine has various benefits, one of which is for antimicrobials. The use of natural products can reduce researchers' concerns about the side effects of chemical drugs. Molecular tethering uses PyRx, PyMOL, and Biovia DS autodock software for visualization of molecular tethering results. Pharmacokinetic profile predictions using SwissAdme web server and web server ADMETlab 2.0. There are 14 compounds of pomegranate content that are predicted to have antiviral effects. Myricetin and galic acid have good interaction results in the target protein 3CLpro. Luteolin compounds and anthocyanins have good interaction results in PLpro target proteins. Pelargonidin, ellagic acid, apigenin, and luteolin compounds have good interaction results in the target protein RdR. Galic acid, myricetin and ellagic acid compounds have good pharmacokinetic profiles judging by good absorbance parameters, low BBB values so they do not penetrate the blood barrier of the brain, are well metabolized, and have low toxicity. Keywords : COVID-19, pomegranate, molecular docking, autodock vina, ADMETlab 2.0

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	COVID-19, pomegranate, molecular docking, autodock vina, ADMETlab 2.0
Subjects:	R Medicine > RS Pharmacy and materia medica
Divisions:	Fakultas Farmasi > Prodi S1 Farmasi
Depositing User:	Tifany Nur Arfiana
Date Deposited:	10 Oct 2022 07:29
Last Modified:	10 Oct 2022 07:29
URI:	http://repo.setiabudi.ac.id/id/eprint/5321

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