Identification of Potential SARS-CoV-2 Main Protease and Spike Protein Inhibitors from the Genus : An In Silico Study for Drug Development.

Severe acute respiratory syndrome coronavirus (SARS-CoV-2) disease is a global rapidly spreading virus showing very high rates of complications and mortality. Till now, there is no effective specific treatment for the disease. is a rich source of isolated phytoconstituents that have an enormous range of biological activities. Since there are no available experimental techniques to examine these compounds for antiviral activity against SARS-CoV-2, we employed an in silico approach involving molecular docking, dynamics simulation, and binding free energy calculation using SARS-CoV-2 essential proteins as main protease and spike protein to identify lead compounds from that may help in novel drug discovery. Results retrieved from docking and molecular dynamics simulation suggested a number of promising inhibitors from . Root mean square deviation (RMSD) and root mean square fluctuation (RMSF) calculations indicated that compounds , and were the best scoring compounds against main protease, while compounds , and were the best scoring ones against spike glycoprotein. Compounds and were able to achieve significant stability and binding free energies during molecular dynamics simulation. In addition, the highest scoring compounds were investigated for their pharmacokinetic properties and drug-likeness. The compounds are promising active phytoconstituents for drug development for SARS-CoV-2.