To understand how the biofilm environment influences peptide structures and to inform the design of novel ABPs, applied a machine learning (ML) algorithm to identify the characteristic features of ABPs. The study revealed that ABPs, i.e. peptides active against pre-formed biofilms, are typically short (most below 20 residues), cationic, amphipathic, and predominantly structured in either ↵-helical or -stranded conformations . ABPs were also found to contain higher proportions of Arginine, Lysine, and Tryptophan residues .