The histone deacetylase group of proteins, which includes the sirtuins, contributes to several cellular processes and is intimately involved in cancer development. Sirtuins type two (SIRT2) is a constituent of the human sirtuin family, which modulates a range of biological functions and is recognized as a potential biomarker for numerous cancers. The impact of SIRT2 knockout on tumorigenesis is debated and varies with the type of tumor; nonetheless, pharmacological inhibition of SIRT2 results exclusively in growth inhibition of diverse cancer cell lines. As a result, SIRT2 regulation is thought to be a viable protein for treating cancer. Herein, the DrugBank database, containing >14,000 drug molecules, was repurposed to find potential anticancer medications that have the capacity to inhibit the SIRT2 protein utilizing in-silico techniques. In light of the experimental findings, the capability of AutoDock Vina1.1.2 software to anticipate the docking scores and poses of the SIRT2 inhibitors was assessed. SirReal2, a potential SIRT2 inhibitor, was the controller for this study. Notably, drugs with docking scores less than SiReal2 were chosen and introduced to molecular dynamics (MD) simulations, accompanied by binding affinities estimations utilizing the MM-GBSA approach. Interestingly, MM-GBSA calculations demonstrated that five drugs, namely DB11526, DB11977, DB15133, DB04739, and DB04632, revealed potential affinities as SIRT2 inhibitors exhibiting ΔGbinding less than -50.0 kcal/mol. The post-MD analyses were inspected for DB11526, DB11977, DB15133, DB04739, and DB04632, indicating excellent steadiness of these drugs bound to SIRT2 protein throughout the 200 ns MD. The ADMET features were also examined and were acceptable. These findings suggested that more attention should be paid to DB11526, DB11977, DB15133, DB04739, and DB04632 as SIRT2 inhibitors utilizing in-vitro/in-vivo assays to treat cancer disease.