We analyzed the chemical space of the 217 inhibitors of S. aureus curated in Section 2.1. The chemical space was analyzed based on fingerprints and molecular features using t-SNE and Principal Moments of Inertia (PMI) plots. t-SNE of two components was performed using the scikit-learn module to visualize the inhibitors and their potencies , using MACCS keys (166-bits) fingerprints generated with the RDKit package in Python, and a perplexity = 7. A ternary plot of PMI was used to analyze molecular geometry. A low energy conformation was calculated using the MMFF94x force field implemented in Molecular Operating Environment (MOE) 2023, and the three principal moments of inertia, I1, I2 and I3 were determined. Their respective normalized PMI ratios, npr1 = I1/I3 and npr2 = I2/I3, were plotted within a triangular area defined by the vertices (0, 1), (0.5, 0.5) and