In silico targeting SARS-CoV-2 spike protein and main protease by biochemical compounds

Abstract

Since there is no general agreement on drug treatment of SARS-CoV-2, the search for a new drug capable of treating COVID-19 is of utmost priority. This study aims to dereplicate the chemical compounds of the methanol extract of Salvia officinalis and Artemisia dracunculus, and assay the inhibitory effect of these compounds as well as the previously dereplicated components of Zingiber officinale against SARS-CoV-2 in an in-silico study. A molecular networking (MN) technique was applied to find the chemical constituents of the extracts. Docking analysis was also used to find the binding affinity of dereplicated components from S. officinalis, A. dracunculus, and Z. officinale to COV-2-SP and M^pro. 57 compounds were dereplicated from the MeOH extracts of S. officinalis and A. dracunculus which include the class of polyphenols, flavonoids, coumarins, phenylpropanoids, anthocyanins, and dihydrochalcones. Molecular docking analysis indicated a high affinity of about 27 compounds from three mentioned plants against studied targets. kaempferol 3-O-rutinoside, neodiosmin, and querciturone with docking score values of -10.575, -10.208, and − 9.904 Kcal/mol and k_i values of 0.016606, 0.030921, and 0.051749, respectively were found to have the highest affinities against COV-2-SP. 2-phenylethyl beta-primeveroside, curcumin PE, and kaempferol 3-O-rutinoside also indicated the highest affinity against M^pro with docking scores of -10.34, -10.126 and − 9.705 and k_i values of 0.024726, 0.035529, and 0.072494, respectively. MN can be successfully used for the dereplication of metabolites from plant extracts. In addition, the in-silico binding energies introduced several inhibitors from Z. officinale, S. officinalis, and A. dracunculus for the treatment of SARS-CoV-2 disease.