High-throughput virtual screening of drug databanks for potential inhibitors of SARS-CoV-2 spike glycoprotein

COVID-19, which is caused by a novel coronavirus known as SARS-CoV-2, has spread rapidly around the world, and it has infected more than 29 million individuals as recorded on 16 September 2020. Much effort has been made to stop the virus from spreading, and there are currently no approved pharmaceutical products to treat COVID-19. Here, we apply an in silico approach to investigate more than 3800 FDA approved drugs on the viral RBD S-1-ACE2 interface as a target. The compounds were investigated through flexible ligand docking, ADME property calculations and protein-ligand interaction maps. Molecular dynamics (MD) simulations were also performed on eleven compounds to study the stability and the interactions of the protein-ligand complexes. The MD simulations show that bagrosin, chidamide, ebastine, indacaterol, regorafenib, salazosulfadimidine, silodosin and tasosartan are relatively stable near the C terminal domain (CTD1) of the S-1 subunit of the viral S protein. The relative MMGBSA binding energies show that silodosin has the best binding to the target. The constant velocity steered molecular dynamics (SMD) simulations show that silodosin preferentially interacts with the RBD S-1 and has potential to act as an interfering compound between viral spike-host ACE2 interactions. Communicated by Ramaswamy H. Sarma

Automated summary

COVID-19 has become a global pandemic, and finding effective treatments is urgently needed. This study applied computational methods to investigate FDA-approved drugs and found that silodosin has good binding ability to the viral RBD S-1 and has potential to interfere with the spike-ACE2 interactions.