Abstract
SARS-CoV-2 rapidly infects millions of people
worldwide since December 2019. There is still no effective treatment for the
virus, resulting in the death of more than one million of patients. Inhibiting
the activity of SARS-CoV-2 main protease (Mpro), 3C-like protease (3CLP), is
able to block the viral replication and proliferation. Although the dimer was
shown to be the biologically active form of the SARS-CoV-2 Mpro, in this
context, our study has revealed that in silico screening for inhibitors of
SARS-CoV-2 Mpro can be reliably done using the monomeric structure of the
receptor. Docking and fast pulling of ligand (FPL) simulations for both
monomeric and dimeric forms correlate well with the corresponding experimental
binding affinity data of 30 compounds. In particular, the correlation
coefficients between computational and experimental binding free energy of the monomeric
SARS-CoV-2 Mpro are approximately similar to the
dimeric target. Moreover, the correlation coefficient between
the rupture forces to binding free energy are roughly the same. Furthermore, the correlation coefficient
between calculated metrics of the monomeric and dimeric SARS-CoV-2 Mpro is R = 0.74. Our study results show that it is possible to
speed up computer-aided drug design for SARS-CoV-2 Mpro by focusing on the
monomeric form instead of the larger dimeric one.