We employed the counts-based Morgan Fingerprint strategy to featurize the small molecules. This approach involves generating molecular fragments of each molecule, using these fragments as keys, and assigning numbers based on the frequency of occurrence of different substructures to derive a vector of integers representing each molecule. A fingerprint size of 1024 vector and a radius of 2 atoms were used. A list of common keys was created for all the molecules, and counts-based fingerprints were generated based on the occurrence of a fragment in a molecule and its presence in the common keys. Subsequently, Principal Component Analysis (PCA) was performed to generate a three-dimensional latent embedding for these molecules. Once computed, this permits mapping all possible molecules into continuous coordinates. However, the coordinates are most meaningful for molecules similar to those that produced the PCA (i.e., small organic molecules found in ZINC).