Shigellosis is a high burden gastrointestinal disease with an increased frequency of antibiotic resistance. Type III secretion apparatus (T3SA) are conserved among different species of Shigella; and IpaD, IpaB, and IcsA proteins participate in its function. Studies indicate shiga toxin as a virulence factor has a fundamental role in hemorrhagic colitis. Bioinformatics tools were recruited for aiding this purpose. In the level of the nucleosome, sequences choosing and optimising and in the phase of the transcriptome, some prediction in associate with mRNA form, also in step of the proteome, physicochemical parameter, best stability, first to third structures and model validation were some prediction performed in assistance with in silico servers. Moreover, estimating antigenic and allergenic propensity, subcellular localisation and protein function were accomplished by bioinformatics software. Finally, these results would be beneficial in an animal model purpose for development of a pervasive candidate immunogen against Shigella spp.