Integrated machine learning and structure-based discovery of noncovalent natural product inhibitors targeting SARS-CoV-2 papain-like protease
Khulud BukhariPapain-like protease is an essential severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enzyme involved in viral polyprotein processing and modulation of host innate immune responses, supporting its consideration as a viable target in antiviral research. Here, we present an integrated computational and experimental strategy to identify noncovalent inhibitors of SARS-CoV-2 papain-like protease from a natural product chemical space. A curated dataset of 893 reported papain-like protease inhibitors was used to train machine learning classification models, among which a light gradient boosting model achieved a testing area under the receiver operating characteristic curve of 0.904. This model was applied to screen a natural product library of 4,945 compounds, yielding 355 candidates with predicted inhibitory probabilities greater than 0.995. Structure-based docking against the GRL0617-bound protease structure prioritized five compounds with docking scores ranging from -8.86 to -8.14 kcal/mol, compared with -7.39 kcal/mol for the reference inhibitor GRL0617. Molecular dynamics simulations of 500 ns revealed stable protein–ligand complexes, with root-mean-square deviation values stabilizing between 1.6-3.5 Å and preservation of global compactness across all systems. Collective motion analysis showed first principal component contributions ranging from 27.43% to 50.28%, indicating ligand-dependent modulation of dominant conformational dynamics. Molecular mechanics–generalized born surface area (MM-GBSA) calculations yielded total binding free energies ranging from -28.71 ± 0.27 to -40.20 ± 0.47 kcal/mol. Biochemical evaluation using a fluorometric assay demonstrated that the five selected compounds inhibit papain-like protease with IC 50 values between 2.62 and 3.89 μM, comparable to the IC 50 of 2.83 μM for GRL0617 measured under identical conditions. Together, these results highlight prioritizing noncovalent papain-like protease inhibitors and support further development of natural products targeting this enzyme.