Our study is limited by computational capabilities, available research on the ATPase InvC protein, and laboratory access. Thus, directions for future research include expanding the scope of generation 0 ligands and synthesizing the best-performing lead compounds for subsequent in-vitro evaluation. It is impossible to confirm a compound's inhibitory ability in pathogens only by knowing its computational binding efficacy. However, with protein structure modeling algorithms growing fast using Deep Learning and AI, AutoGrow4 should soon have even broader applications and provide more accurate results .