Hydroxychloroquine: Similarity search and structure-based virtual screening for identification of potential hits for chemoprophylaxis against SARS-CoV-2

ABSTRACT

The current eruption of the novel severe acute respiratory syndrom causing coronavirus 2 (SARS-CoV-2) is an atrocious health tragedy. In this virulent disease, the computational approach appears to be the most hopeful choice to make out an efficient remedial medicinal agent for the treatment of an infected population. This current exploration inclined to analyze the similar druggable compounds as hydroxychloroquine to combat unworn coronavirus (COVID-19), using a pharmacoinformatics study. Docking-based virtual screening was carried-out using Glide, followed by Absorption Distribution Metabolism Excretion (ADME) anticipation. Hydroxychloroquine is being used as the criterion for comparison as it showed potential effect for symptomatic relief. Target-based virtual screening study divulged 28 top-ranked compounds based on their binding energy and dock score from 10695 PubChem compounds. In the additional weed-out process, 07 compounds were selected based on their similar interactions as hydroxychloroquine, comparable binding energy, and shape complementarity of the binding pocket of 6LU7. The three-dimensional binding pose of screened 07 hits and their chemo-essential features were successfully matched with reference compound. These candidates showed potential interactions with the amino acid residues of the active site of SARS-CoV-2 (PDB ID 6LU7). Therefore, they may have the capability as lead compound(s) against COVID-19.