Vaccine by Using Homology Modeling Method

became a major public health problem in the tropic and subtropical countries. Dengue virus (DENV) had four serotypes (DENV-1, DENV-2, DENV-3 and DENV-4), based on their immunogenic in the human body. Preventive measure will be necessary to decrease the prevalence of dengue fever, by developing modern vaccine. Approach: This research was focused on in silico study of dengue virus vaccines, by using envelope (E) protein of DENV-2 and DENV-3 as their backbones. T cell epitope prediction was determined by using MULTIPRED server and B cell epitope prediction was determined by using Conformational Epitope Prediction server (CEP). Homology modeling study of E DENV-3 protein as the vaccine backbone had produced six dengue vaccine peptides (HMM Vaccine 1-6). Moreover, homology modeling study of E DENV-2 protein as vaccine backbone had produced six dengue vaccine peptides (ANN vaccine 1-6). Results: The BLAST analysis of HMM and ANN vaccines had produced 93 % and 91 % identity, respectively. The Ramachandran Plot of both vaccines had shown less than 15 % non glycine residue in the disallowed region, therefore it showed the solid stability of the proteins. The VAST analysis of E DENV-3 backbone vaccines had determined, that HMM4 and HMM6 had the highest structure similarity with native E DENV-3. HMM4 and HMM6 had the highest VAST score of 64.5. Moreover, the VAST analysis of E DENV-2 backbone vaccine