The global impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its companion disease, COVID-19, has reminded us of the importance of basic coronaviral research. In this study, a comprehensive approach using molecular docking, in vitro assays, and molecular dynamics simulations was applied to identify potential inhibitors for SARS-CoV-2 papain-like protease (PL^{pro}), a key and underexplored viral enzyme target. A focused protease inhibitor library was initially created and molecular docking was performed using CmDock software (v0.2.0), resulting in the selection of hit compounds for in vitro testing on the isolated enzyme. Among them, compound 372 exhibited promising inhibitory properties against PL^{pro}, with an IC50 value of 82 ± 34 μM. The compound also displayed a new triazolopyrimidinyl scaffold not yet represented within protease inhibitors. Molecular dynamics simulations demonstrated the favorable binding properties of compound 372. Structural analysis highlighted its key interactions with PL^{pro}, and we stress its potential for further optimization. Moreover, besides compound 372 as a candidate for PL^{pro} inhibitor development, this study elaborates on the PL^{pro} binding site dynamics and provides a valuable contribution for further efforts in pan-coronaviral PL^{pro} inhibitor development.
【저자키워드】 SARS-CoV-2, drug design, Virtual screening, Protease inhibitor, Papain-like protease, CADD, structure-based design, PLpro, in silico drug design, HTVS, antiviral design,