In Silico Screening of Bioactive Compounds from Garcinia mangostana L. Against SARS-CoV-2 via Tetra Inhibitors

Abstract

The global COVID-19 pandemic caused by SARS-CoV-2 has been the resulted of massive human deaths since early 2020. The purpose of this study was to determine the potential of mangosteen (Garcinia mangostana L.) as an inhibitor of RBD spike, helicase, Mpro, and RdRp activity of SARS-CoV-2 with an in silico approach. The samples were obtained from PubChem and RCSB PDB. Analysis of the similarity of the drug was carried out with the Swiss ADME on the basis of Lipinski rule of five. Prediction of antivirus probabilities was carried out using PASS Online. Molecular screening was performed using PyRx through molecular docking. Discovery Studio was used for visualization. The bioactive compounds with the highest antiviral potential were indicated with the lowest binding affinity to the targeted proteins RBD spike, helicase, Mpro, and RdRp of SARS-CoV-2. The results indicated that mangiferin has the greatest potential as a potential antiviral. However, more research is required to validate the results of these computational predictions. Key words: SARS-CoV-2, Garcinia mangostana L., In silico, Antiviral agent