Currently, the prevalence of multidrug resistance Aeromonas hydrophila is one of the major issues and challenges for aquatic and terrestrial organisms. Therefore, an urgent need arises to control it using a potent and specific drug. Here, we identified a peptide deformylase (PDF) in A. hydrophila , which is a ubiquitous enzyme and one of the most attractive drug targets. We used the PDF protein sequences for generating a 3-D model using homology modeling. The 3-D model was validated and it was found 91% of the present amino acids in allowed regions of the Ramachandran plot. We used the 3-D model of PDF for the screening of drugs through molecular docking and found BB-3497, actinonin, and BBS-02 were more potent than other studied drugs based on binding energy. We have also generated a phylogenetic tree of PDF from A. hydrophila with other homologous bacteria, suggesting that similar drugs could also be applied to the control of those bacteria. These findings provide a new insight for the better understanding of PDF, which is a novel target for the development of more potent inhibitors towards the better control of multidrug resistant A. hydrophila .