Quantum processing of cytidine derivatives and evaluating their in silico interactions with the COVID-19 main protease

Abstract

This work was performed by the importance of exploring possible medications for COVID-19 pandemic. In this regard, cytidine (Cyd) derivatives were investigated to reach a point to see their benefit of employing for the purpose. Each of halogenated models of Cyd including CydF, CydCl, CydBr, and CydI were investigated in addition to the original CydH model. Density functional theory (DFT) based quantum processing were performed to obtain stabilized structures in addition to evaluation of frontier molecular orbitals features. Next, molecular docking (MD) simulations were performed to reach a point of formations of interacting ligand-target complexes. Among the investigated models CydH and CydI were working better than other model for reaching the purpose of this work, in which the derived CydI model was indeed the ligand with the highest suitability for formation of ligand-target complexes. As a consequence, such ligands of original and halogenated Cyd models might work for inhibition of main protease (MPro) enzyme of COVID-19 based on the obtained meaningful vales for complex strengths in addition interacting with the amino acids of active site. More precisely, the CydI model could be proposed as promising ligand for showing the inhibitory effects towards the MPro target of COVID-19.