Fig. and Fig. show visual representations of the chemical multiverse (e.g., multiple chemical spaces, each defined by different representations) of the active compounds of the seven antiviral data sets (Table ) and 92 antivirals in Drug Bank. The chemical multiverse is based on Morgan Chiral of radius 2 (2048bits) (Fig. ) and MACCS keys (166-bits) fingerprints (Fig. ). The visualization highlights distinct patterns in the chemical space. The distribution of active compounds in the chemical space emphasized the diversity of chemical scaffolds that may be associated with antiviral activity. This diversity was particularly evident in targets such as SARS-CoV-2 Mpro and IAV Neuraminidase with large coverage of the chemical space. Furthermore, visualizations with both fingerprints suggest the presence of structurally similar compounds to approved antivirals within the active subset derived from the retraining phase. This overlap reinforces the predictive models' reliability in identifying bioactive compounds while also supporting the hypothesis that structurally similar compounds are likely to exhibit similar biological activity. A complementary visualization of the chemical multiverse is presented in Fig. , featuring a General Constellation plot centered on chemical scaffolds. This plot employs t-SNE for dimensionality reduction, with point sizes reflecting the number of compounds associated with each molecular scaffold and a color scale representing pIC50 values reported in ChEMBL. This visualization offers valuable insights into the distribution and activity patterns of scaffolds within the chemical data set.