We calculated the secondary structure of the GRAMPA sequences with PEP2D, filtering out sequences with unusual amino acids and keeping only those with a length of 50 residues or less due to program limitations. Subsequently, we obtained the density of sequences by secondary structure to identify the largest structure represented, we repeated the procedure with three different data subsets for the most represented microorganisms in GRAMPA, and we evaluated the distribution of antimicrobial activity for each type of secondary structure. We then divided the original dataset into subclassifications based on their percentage composition of secondary structure into seven groups: helical and coil, mostly helical, helical and stranded, mostly stranded (β-sheet), stranded and coil, and mixed structures and mostly coil.