Celiac disease, an intricate autoimmune disorder, stems from gluten consumption, primarily found in wheat, barley, and rye. Due to its high proline content, gluten resists complete breakdown in the human digestive system. Prolyl endopeptidases (PEPs), a subclass of serine proteases, offer a promising therapeutic avenue. These enzymes exhibit a unique ability to cleave peptide bonds post proline residues, aiding gluten digestion. However, leveraging these enzymes effectively mandates a profound understanding of their operation within the dynamic pH milieu of the human gastrointestinal tract. This study delves into the influence of pH variations on PEP structure and activity, employing advanced computational methodologies. The research initiates with acquiring PEP sequences from ten diverse organisms via the UniProt database. Employing sequence analysis techniques like multiple sequence alignment and pairwise sequence alignment, we identify pH-sensitive regions by scrutinizing conserved motifs and sequence disparities. Prot Pi facilitates the computation of net charge profiles across varied pH gradients, unveiling pH-responsive charge distribution patterns. Structural analysis involves predicting 3D conformations through Pep-Fold4, encapsulating protein adaptations to pH fluctuations. RMSD calculations via PyMOL reveal pH-induced conformational alterations and their implications for protein stability. Also, rigorous homologous modeling of human PEPs via Swiss Model ensures structural fidelity, energy optimization with YASARA refines geometric parameters, while ERRAT analysis validates structural integrity. Docking simulations forecast PEP-gluten peptide interactions across diverse pH conditions. In conclusion, our comprehensive data analysis provides novel insights into how pH modulates PEP structures. These findings bear significant implications for enzyme catalysis, structural resilience, and potential therapeutic strategies.