Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus

Author:

Gaafar Bothina B. M.1,Ali Sumaia A.12ORCID,Abd-elrahman Khoubieb Ali3,Almofti Yassir A.1ORCID

Affiliation:

1. Department of Molecular Biology and Bioinformatics, College of Veterinary Medicine, University of Bahri, Khartoum, Sudan

2. Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, Sudan University of Science and Technology, Sudan

3. Department of Pharmaceutical Technology, College of Pharmacy, University of Medical Science and Technology (UMST), Khartoum, Sudan

Abstract

Background. Small ruminant morbillivirus or peste des petits ruminants virus (PPRV) is an acute and highly contagious viral disease of goats, sheep, and other livestock. This study aimed at predicting an effective multiepitope vaccine against PPRV from the immunogenic proteins haemagglutinin (H), matrix (M), fusion (F), and nucleoprotein (N) using immunoinformatics tools.Materials and Methods. The sequences of the immunogenic proteins were retrieved from GenBank of the National Center for Biotechnology Information (NCBI). BioEdit software was used to align each protein from the retrieved sequences for conservancy. Immune Epitope Database (IEDB) analysis resources were used to predict B and T cell epitopes. For B cells, the criteria for electing epitopes depend on the epitope linearity, surface accessibility, and antigenicity.Results. Nine epitopes from the H protein, eight epitopes from the M protein, and ten epitopes from each of the F and N proteins were predicted as linear epitopes. The surface accessibility method proposed seven surface epitopes from each of the H and F proteins in addition to six and four epitopes from the M and N proteins, respectively. For antigenicity, only two epitopes142PPERV146and63DPLSP67were predicted as antigenic from H and M, respectively. For T cells, MHC-I binding prediction tools showed multiple epitopes that interacted strongly with BoLA alleles. For instance, the epitope45MFLSLIGLL53from the H protein interacted with four BoLA alleles, while276FKKILCYPL284predicted from the M protein interacted with two alleles. Although F and N proteins demonstrated no favorable interaction with B cells, they strongly interacted with T cells. For instance,358STKSCARTL366from the F protein interacted with five alleles, followed by340SQNALYPMS348and442IDLGPAISL450that interacted with three alleles each. The epitopes from the N protein displayed strong interaction with BoLA alleles such as490RSAEALFRL498that interacted with five alleles, followed by two epitopes2ATLLKSLAL10and304QQLGEVAPY312that interacted with four alleles each. In addition to that, four epitopes3TLLKSLALF11,356YFDPAYFRL364,360AYFRLGQEM368, and412PRQAQVSFL420interacted with three alleles each.Conclusion. Fourteen epitopes were predicted as promising vaccine candidates against PPRV from four immunogenic proteins. These epitopes should be validated experimentally through in vitro and in vivo studies.

Publisher

Hindawi Limited

Subject

Immunology,General Medicine,Immunology and Allergy

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