Bioactive compounds from mangosteen (Garcinia mangostana L.) as an antiviral agent via dual inhibitor mechanism against SARSCoV- 2: an in silico approach

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus that causes COVID-19 which is responsible for respiratory illness infection in humans. The virus was first identified in China in 2019 and later spread to other countries worldwide. This study aims to identify the bioactive compounds from mangosteen (Garcinia mangostana L.) as an antiviral agent via dual inhibitor mechanisms against two SARS-CoV-2 proteases through the in silico approach. The three-dimensional structure of various bioactive compounds of mangosteen from the database was examined. Furthermore, all the target compounds were analyzed for drug, antiviral activity prediction, virtual screening, molecular interactions, and threedimensional structure visualization. It aimed to determine the potential of the bioactive compounds from mangosteen that can serve as antiviral agents to fight SARS-CoV-2. Results showed that the bioactive compounds from mangosteen have the prospective to provide antiviral agents that contradict the virus via dual inhibitory mechanisms. In summary, the binding of the various bioactive compounds from mangosteen results in low binding energy and is expected to have the ability to induce any activity of the target protein binding reaction. Therefore, it allows various bioactive compounds from mangosteen to act as dual inhibitory mechanisms for COVID-19 infection.

Macroalgae Bioactive Compounds for the Potential Antiviral of SARS-CoV-2: An In Silico Study

Coronavirus disease (COVID-19), which was due to novel coronavirus was detected in December 2019 in Wuhan, China for the first time and spread rapidly became a global pandemic. This study aimed to predict the potential of macroalgae compounds as SARS-CoV-2 antiviral by inhibiting of ACE2 receptor through in silico approach. Twenty-seven macroalgae compounds were obtained from PubChem (NCBI, USA), while target protein ACE2 receptor was collected from Protein Data Bank (PDB). Then the initial screening study drug-likeness conducted by Lipinski rule of five web server and prediction of bioactive probability carried out by PASS (Prediction of activity spectra for biologically active substances) Online web server. After those compounds were approved by Lipinski's rule of five and PASS online prediction web server, the blind docking simulation was performed using PyRx 0.8 software to show binding energy value. Molecular interaction analysis was done using BIOVIA Discovery Studio 2016 v16.1.0 and PyMOL v2.4.1 software. There are six macroalgae compounds approved by Lipinski's rule of five and PASS Online Analysis. The result is that macroalgae compound siphonaxanthin among 27 macroalgae compound showed strong binding energy to bind ACE2 receptor with -8.8 kcal/mol. This study also used the SARS-CoV-2 drugs as positive control: remdesivir, molnupiravir, baricitinib, lopinavir, oseltamivir, and favipiravir. The result shows that siphonaxanthin has lowest binding energy than the common SARS-CoV-2 drug. Macroalgae compounds are predicted to have potential as SARS-CoV-2 antiviral. Thus, extension studies need to investigate by in vitro and in vivo analysis for confirmation the siphonaxanthin's inhibitory activity in combat SARS-CoV-2.