Abstract Objective: The ribosomal protein, uS19, is known to be associated with cancers but the molecular mechanisms underlying its involvement in oncogenesis is not fully understood. Herein, we report the findings from an in silico approach to predict the collaborative partners of uS19 in oncogenic pathways. Results: Using the bioinformatics tools of VAST (to identify candidate partners), ClusPro and PatchDock/FireDock (to simulate protein-protein interaction/docking), our analysis revealed 9 computationally-supported interacting partners of uS19 that have relevance to cancer pathways. These proteins are TMEM237, SLC22A23, SLC13A4, SLC7A1, CUBN, CBLIF, RRP1B, LMP2, and EBNA1. Our findings suggest that the role of uS19 in neoplastic malignancies may involve multiple pathways via interaction with various proteins.