In Silico Study of Entry Inhibitor from Moringa oleifera Bioactive Compounds against SARS-CoV-2 Infection

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Nala Mawaddani, Ekris Sutiyanti, Muhammad Hermawan Widyananda, Viol Dhea Kharisma, Dora Dayu Rahma Turista, Muhammad Badrut Tamam, Vikash Jakhmola, Syamsurizal, Bayu Ramadhani Fajri, Muhammad Raffi Ghifari, Muhammad Thoriq Albari, Muhammad Arya Ghifari, Amalia Putri Lubis, Dony Novaliendry, Dwi Hilda Putri, Fadhilah Fitri, Devni Prima Sari, Alexander Patera Nugraha, A.N.M. Ansori, Maksim Rebezov, Rahadian Zainul

2022 Pharmacognosy Journal Vol. 14 Issue 5 Article Cited by 23 Quartile

Abstract

The aim of this study is to screen the content of bioactive compounds of Moringa oleifera and to identify its potential as an antiviral against COVID 19 through an entry inhibitor mechanism using bioinformatics tools. The sample was obtained from PubChem database. Amino acis sequences were obtained from the NCBI. Protein modeling is made through the SWISSMODEL site. The target proteins for this study were SARS-CoV-2 Mpro and RdRp. The protein-inhibitory interaction of the drug from M. oleifera bioactive compounds to SARS-CoV-2 was predicted by molecular docking with PyRx software.The result shows that M. oleifera was a potential antiviral candidate for SARS-CoV-2 with an entry inhibitor mechanism through a compound, especially quercetin. The RFMS value of both interactions between Mpro and quercetion and RdRp with quercetin were not higher than 1.05. This result still needed further research to prove this prediction. © 2022 Phcogj.Com. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

Affiliations

Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya, Malang, Indonesia; Department of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia; Division of Molecular Biology and Genetics, Generasi Biologi Indonesia Foundation, Gresik, Indonesia; Biology Education Department, Faculty of Teacher Training and Education, Mulawarman University, Samarinda, Indonesia; Department of Biology, Faculty of Sciences and Technology, Universitas Muhammadiyah Lamongan, Lamongan, Indonesia; Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India; Center for Advanced Material Processing, Artificial Intelligence, and Biophysics Informatics (CAMP-BIOTICS), Universitas Negeri Padang, Padang, Indonesia; Department of Biology, Faculty of Mathematics and Natural Sciences Universitas Negeri Padang, Padang, Indonesia; Information Technology, Dapartement of Electronic, Faculty of Engineering, Universitas Negeri Padang, Padang, Indonesia; Department of Information Technology, Faculty of Computer Sciences, Universitas Brawijaya, Malang, Indonesia; Department of Chemistry, Faculty of Mathematics and Natural Sciences Universitas Negeri Padang, Padang, Indonesia; Program Study Informatics, Faculty of Engineering, Universitas Negeri Padang, Padang, Indonesia; Department of Statistics, Faculty of Mathematics and Natural Sciences Universitas Negeri Padang, Padang, Indonesia; Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Padang, Indonesia; Department of Orthodontics, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia; Professor Nidom Foundation, Surabaya, Indonesia; Department of Scientific Research, Russian State Agrarian University, Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation; Faculty of Biotechnology and Food Engineering, Ural State Agrarian University, Yekaterinburg, Russian Federation