In Silico Designing a Candidate Vaccine Against Breast Cancer

Breast cancer (BC) is the most common type of women’s cancer with a prevalence of about 25%, although it is rare in men (< 1%). Until now, BC therapy approaches have not been successful for various reasons. The purpose of this study was to design a candidate vaccine against BC using bioinformatics tools. Herein, in silico design of a fusion vaccine candidate containing extracellular domain of HER-2/neu protein and N-terminal sequence of GP96 protein (NTGP96) were performed. Different bioinformatics and immunoinformatics softwares were used to study the important characteristics of the designed vaccine, including physicochemical properties, secondary, and 3D structures, as well as antigenicity and allergenicity. Structural and immunological computational results indicated the potential of our designed construct for proper stimulation of cellular and humoral immune responses against BC. According to the obtained data, the candidate vaccine could be introduced for BC therapy, after the efficacy of it was confirmed by in vivo and in vitro immunological assays.