cophore in medicinal chemistry. Owing to its bioisosterism with carboxylic acids, superior metabolic stability, and ability to form stable complexes, tetrazole derivatives have gained substantial attention in drug discovery. However, existing literature reveals a considerable research vacuum surrounding the pharmacokinetics, pharmacodynamics, and toxicity profiles of tetrazole derivatives, largely due to synthetic limitations and underexplored substitution patterns. Aim: To perform a comprehensive in silico exploration of novel tetrazole molecules with potential anti-inflammatory properties. Methods: A range of computational techniques was employed to assess tetrazole derivatives. Molecular docking was conducted against an anti-inflammatory target to evaluate binding affinity and interaction profiles. In silico target identification tools were utilized to predict off-target interactions. ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiling, IC50 and LD50 estimations, and organ-specific toxicity predictions (including hepatotoxicity, neurotoxicity, and nephrotoxicity) were carried out. Bioisosteric replacement studies and metabolic pathway predictions were also performed to explore the chemical space and metabolite activity of the compounds. Results: Initial in silico studies revealed promising docking scores and pharmacokinetic profiles for selected tetrazole derivatives. The compounds demonstrated favorable ADMET parameters, low predicted toxicity, and potential for bioisosteric optimization. Metabolite prediction studies indicated structurally stable and pharmacologically relevant metabolites. Conclusion: This study highlights the untapped therapeutic potential of novel tetrazole derivatives and supports their further investigation through in silico and experimental approaches for anti-inflammatory drug development.