In silico analysis of an envelope domain III-based multivalent fusion protein as a potential dengue vaccine candidate.
- Author:
Hossein FAHIMI
1
;
Majid SADEGHIZADEH
;
Mahshid MOHAMMADIPOUR
Author Information
- Publication Type:Original Article
- Keywords: In silico; Dengue virus; Vaccine
- MeSH: Computational Biology; Computer Simulation*; Consensus; Dengue Virus; Dengue*; Humans; Immune System; Protein Structure, Tertiary; Protein Subunits; Staphylococcal Protein A*
- From:Clinical and Experimental Vaccine Research 2016;5(1):41-49
- CountryRepublic of Korea
- Language:English
- Abstract: PURPOSE: Dengue virus infection is now a global problem. Currently, there is no licensed vaccine or proven antiviral treatment against this virus. All four serotypes (1-4) of dengue virus can infect human. An effective dengue vaccine should be tetravalent to induce protective immune responses against all four serotypes. Most of dengue vaccine candidates are monovalent, or in the form of physically mixed multivalent formulations. Recently envelope protein domain III of virus is considered as a vaccine candidate, which plays critical roles in the most important viral activities. Development of a tetravalent protein subunit vaccine is very important for equal induction of immune system and prevention of unbalanced immunity. Here, we have presented and used a rational approach to design a tetravalent dengue vaccine candidate. MATERIALS AND METHODS: We designed a multi domain antigen by fusing four consensus domain III sequences together with appropriate hydrophobic linkers and used several types of bioinformatics software and neural networks to predict structural and immunological properties of the designed tetravalent antigen. RESULTS: We designed a tetravalent protein (EDIIIF) based on domain III of dengue virus envelope protein. According to the results of the bioinformatics analysis, the constructed models for EDIIIF protein were structurally stable and potentially immunogenic. CONCLUSION: The designed tetravalent protein can be considered as a potential dengue vaccine candidate. The presented approach can be used for rational design and in silico evaluation of chimeric dengue vaccine candidates.
