Multi Epitope Peptide Vaccine Prediction against Sudan Ebola Virus Using Immuno-Informatics Approaches

Abstract

Sudan Ebola virus is single stranded negative sense RNA genome belonging to Filovirus Filoviridae family that causes hemorrhagic fever. There is no treatment or vaccine for it, thus the aim of this study is to design a peptide vaccine using immuoinformatics approaches to analyse the glycoprotein of the all strain of SUDV, to determine the conserved region which is further studied to predict all possible epitopes that can be used as a peptide vaccine. A total of 21 Sudan Ebola virus glycoprotein retrieved from NCBI database were aligned to determine the conservancy and to predict the epitopes using IEDB analysis resource. Three epitopes predicted as a peptide vaccine for B cell (PPPPDGVR, ETFLQSPP, LQSPPIRE). For T cell four epitopes showed high affinity to MHC class I (FLYDRLAST, IIIAIIALL, MHNQNALVC and RTYTILNRK) and high coverage against Sudan and the whole world population. Also in MHC class II, Four epitopes that interact with most frequent MHC class II alleles (FAEGVIAFL, FLRATTELR, FLYDRLAST and FVWVIILFQ) with high coverage against Sudan and the whole world population. We recommend in vivo and in vitro study to prove the effectiveness of these predicted epitopes as a peptide vaccine.

Design of Epitope Based Peptide Vaccine Against Pseudomonas Aeruginosa Fructose Bisphosphate Aldolase Protein using Immunoinformatics

“…Many studies had predicted peptide vaccines for different microorganisms such as, Rubella, Ebola, Dengue, Zika, HPV, Lagos rabies virus, and mycetoma using immunoinformatics tools. [44][45][46][47][48][49][50][51][52][53] Limitations include the exclusion of certain HLA alleles for the MHC II. We hope that the whole world will benefit from this epitope-based vaccine and recommend invivo and invitro studies to prove it's effectiveness.…”

Immunoinformatics Prediction of Peptide-Based Vaccine Against African Horse Sickness Virus

“…Peptide vaccine have shown its preventive and therapeutic success in a considerable number of human and animal viruses and diseases including e.g, Influenza virus , Hepatitis B virus, Human Immune Deficiency virus (HIV), Ebola virus, cancer and others [53][54][55][56][57]. In this study we aimed to predict possible peptide vaccine for the African horse sickness virus and we targeted strain 6 out of 9 known strains for this virus [58] as the data we collected from the reference sequence alignment suggested to do.…”

Prediction of Multiple Peptide Based Vaccine from E1, E2 and Capsid Proteins of Rubella Virus: An In-Silico Approach

“…We used Immuno informatics tools to identify epitopes for multiple peptide vaccine, these tools was recently used to design vaccines for many viruses such as Ebola [42], Zika virus [43], merkel cell polyomavirus [44] and human papillomavirus [45]. Rubella virus contains two projections that are mainly protein in nature, E1 and E2, which anchored to the outer layer of the membrane and many forms of nucleocapsid envelope protein.…”