Immunotoxins, as a critical approach for cancer therapy, have ability to induction death in cancerous cells based on specific ligands for targeting cancer-specific antigens and toxin domains in its context. Bearing in mind, discovery the cancer-specific antigens, as well as immunotoxin characterization for modeling based on linkers application, is a critical step for drugs design, which is considered in this study for ovarian cancer based on in-silico biology. The results of this study, led to the detection of 29 antigens with expression capacity on the surface of ovarian cancer cells, with the highest and specific expression associated with MAGE4 and CA125 antigens. Moreover, the 3D structure of MAGE4 was performed, and the pattern of its expression was determined to rely on HLA proteins. On the other hand, among connecting proteins to this antigen TRIM69 selected as the most effective ligand. Subsequently, the assembling between the domain of Corynebacterium diphtheria and this ligand with (GGGGS) 3 linker in 5 positions led to the creation of 50 models, with different quality and structure. However, among these models, S4 drug showed the best structure and function including binding affinity and immunogenicity after simulation in physiological condition. Generally, this result led to present the MAGE4 as a suitable candidate for immunotoxin development for ovarian cancer, as well as an effective immunotoxin which should be considered in an experimental condition.