Comparisons with existing machine learning (ML) models highlight the complementarity of GA methods, as GAs traverse chemical space, discovering ligands with coordination sites not present in the initial population. This is in contrast to ML models that interpolate within a learned la-tent space but may struggle to explore entirely new binding motifs.