Computational design of a potential multi-epitope subunit vaccine using immunoinformatics to fight Ebola virus.

Ebola virus (EBOV) is a rare but fatal disease that has been a burden to mankind for over 40 years. EBOV exhibits several symptoms including severe bleeding, organ failure and if left untreated causes death. It is assumed that fruit bats of the Pteropodidae family are natural hosts for the virus. Over the years, there has been no effective vaccine that can confer immunity to this virus. Considering the necessity of a vaccine against EBOV, this study to develop a multi-epitope subunit vaccine for the EBOV using the immunoinformatics approach was conducted. The construct was designed using structural and non-structural proteins of EBOV. Class I and Class II MHC epitopes were predicted and linked along with β defensin and compatible linkers. B-cell linear epitopes were also assessed and the physiological parameters of the vaccine were determined. The vaccine was capable of administration to humans and also is capable of an immune response. The vaccine was modeled further and affinity towards the TLR4 receptor was studied by docking and simulation for 20 ns. The trajectory analysis high affinity between the vaccine and the construct with an average hydrogen bond of 18. For ease of purification, the vaccine construct was ligated into pET28a(+) vector with His-tag. Concluding from the results, the vaccine construct has the potentiality to help develop immunity against the Ebola virus. Furthermore, experimental and immunological investigations will be required to verify the feasibility of the multi-epitope subunit construct as a commercial vaccine.