We have applied a computational strategy, based on the synergy of virtual screening, docking and molecular dynamics techniques, aimed at identifying possible lead compounds for the non-covalent inhibition of the main protease 3CL-pro of the SARS-Cov2 Coronavirus. Based on the recently resolved 6LU7 PDB structure, ligands were generated using a multimodal structure-based design and then optimally docked to the 6LU7 monomer. Docking calculations show that ligand-binding is strikingly similar in SARS-CoV and SARS-CoV2 main proteases, irrespectively of the protonation state of the catalytic CYS-HIS dyad. The most potent docked ligands are found to share a common binding pattern with aromatic moieties connected by rotatable bonds in a pseudo-linear arrangement. Molecular dynamics calculations fully confirm the stability in the 3CL-pro binding pocket of  most potent binder identified by docking, namely a chlorophenyl-pyridyl-carboxamide derivative.
We have applied a computational strategy, based on the synergy of virtual screening, docking and molecular dynamics techniques, aimed at identifying possible lead compounds for the non-covalent inhibition of the main protease 3CL-pro of the SARS-Cov2 Coronavirus. Based on the recently resolved 6LU7 PDB structure, ligands were generated using a multimodal structure-based design and then optimally docked to the 6LU7 monomer. Docking calculations show that ligand-binding is strikingly similar in SARS-CoV and SARS-CoV2 main proteases, irrespectively of the protonation state of the catalytic CYS-HIS dyad. The most potent docked ligands are found to share a common binding pattern with aromatic moieties connected by rotatable bonds in a pseudo-linear arrangement. Molecular dynamics calculations fully confirm the stability in the 3CL-pro binding pocket of the most potent binder identified by docking, namely a chlorophenyl-pyridyl-carboxamide derivative.
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