The multifunctionality of many complicates the identification of features driving individual mechanisms of action . While generative models consistently produce active and selective peptides, their outputs often remain within the existing AMP chemical space. The inclusion of non-canonical amino acids could significantly diversify the peptide repertoire, but their low frequency and poorly understood behavior limit their integration into predictive models.