Other chemoinformatics, ML, and DL models were proposed as a means of identifying compounds to combat antibiotic resistance, which is found in all parts of the world . Peptides have been proposed as suitable alternatives since they display biological activity against bacteria, viruses, fungi, and parasites . Antimicrobial peptides (AMP) have a low propensity for bacteria resistance . The research group of Rondón-Villarreal developed an AMP library using the CAMPR3 database, and genetic algorithms. The peptide library was designed with specific physicochemical properties (charge, hydrophobicity, isoelectric point, and stability index) and tested against E. coli, Pseudomonas aeruginosa and methicillin-resistant Staphylococcus aureus. This library could potentially lead to the discovery of potent antimicrobial peptides.