Computational Prediction of Cymbopogon Citratus Compounds as Promising Inhibitors of Main Protease of SARS-CoV-2: Computational Prediction of Cymbopogon Citratus Compounds

There is a dire need to develop any antiviral therapy for the treatment of SARS-CoV-2. Objective: To investigate the potential therapeutic drug agents from Cymbopogon citratus compounds against the main-protease (Mpro) of SARS-CoV-2. Methods: Initial screening was carried out using molecular docking, dynamic simulation followed by ADMET profiling and Lipinski’s physiochemical parameters for prediction of drug likeliness. MOE/PyRx was used for docking before determining the stability of the best complexes through NAMD/VMD softwares. Moreover, SwissADME and admetSAR web-based tools were used for drug likeliness of the best complexes. Results: Out of total 50 compounds, 11 presented the lowest binding energies which includes tannic acid, isoorientin, swertiajaponin, chlorogenic acid, cymbopogonol, warfarin, citral diethyl acetal, citral acetate, luteolin, kaempferol and cianidanol with binding energies of -8.12, -7.38, -7.33, -6.88, -6.48, -6.32, -6.31, -6.18, -6.18, -6.13 and -6.02, respectively. Current studies show isoorientin, chlorogenic acid and tannic acid as the promising drug agents using RMSD, Hbond, heatmap graphs. Conclusion: Further in-vivo experiments are suggested to ascertain the medicinal use of these potential inhibitors against COVID-19.