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

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), ma...

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Autores principales: Gaafar, Bothina B. M., Ali, Sumaia A., Abd-elrahman, Khoubieb Ali, Almofti, Yassir A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875335/
https://www.ncbi.nlm.nih.gov/pubmed/31781679
http://dx.doi.org/10.1155/2019/6124030
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author Gaafar, Bothina B. M.
Ali, Sumaia A.
Abd-elrahman, Khoubieb Ali
Almofti, Yassir A.
author_facet Gaafar, Bothina B. M.
Ali, Sumaia A.
Abd-elrahman, Khoubieb Ali
Almofti, Yassir A.
author_sort Gaafar, Bothina B. M.
collection PubMed
description 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 epitopes (142)PPERV(146) and (63)DPLSP(67) were 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 epitope (45)MFLSLIGLL(53) from the H protein interacted with four BoLA alleles, while (276)FKKILCYPL(284) predicted 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, (358)STKSCARTL(366) from the F protein interacted with five alleles, followed by (340)SQNALYPMS(348) and (442)IDLGPAISL(450) that interacted with three alleles each. The epitopes from the N protein displayed strong interaction with BoLA alleles such as (490)RSAEALFRL(498) that interacted with five alleles, followed by two epitopes (2)ATLLKSLAL(10) and (304)QQLGEVAPY(312) that interacted with four alleles each. In addition to that, four epitopes (3)TLLKSLALF(11), (356)YFDPAYFRL(364), (360)AYFRLGQEM(368), and (412)PRQAQVSFL(420) interacted 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.
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spelling pubmed-68753352019-11-28 Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus Gaafar, Bothina B. M. Ali, Sumaia A. Abd-elrahman, Khoubieb Ali Almofti, Yassir A. J Immunol Res Research Article 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 epitopes (142)PPERV(146) and (63)DPLSP(67) were 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 epitope (45)MFLSLIGLL(53) from the H protein interacted with four BoLA alleles, while (276)FKKILCYPL(284) predicted 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, (358)STKSCARTL(366) from the F protein interacted with five alleles, followed by (340)SQNALYPMS(348) and (442)IDLGPAISL(450) that interacted with three alleles each. The epitopes from the N protein displayed strong interaction with BoLA alleles such as (490)RSAEALFRL(498) that interacted with five alleles, followed by two epitopes (2)ATLLKSLAL(10) and (304)QQLGEVAPY(312) that interacted with four alleles each. In addition to that, four epitopes (3)TLLKSLALF(11), (356)YFDPAYFRL(364), (360)AYFRLGQEM(368), and (412)PRQAQVSFL(420) interacted 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. Hindawi 2019-10-30 /pmc/articles/PMC6875335/ /pubmed/31781679 http://dx.doi.org/10.1155/2019/6124030 Text en Copyright © 2019 Bothina B. M. Gaafar et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gaafar, Bothina B. M.
Ali, Sumaia A.
Abd-elrahman, Khoubieb Ali
Almofti, Yassir A.
Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus
title Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus
title_full Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus
title_fullStr Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus
title_full_unstemmed Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus
title_short Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus
title_sort immunoinformatics approach for multiepitope vaccine prediction from h, m, f, and n proteins of peste des petits ruminants virus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875335/
https://www.ncbi.nlm.nih.gov/pubmed/31781679
http://dx.doi.org/10.1155/2019/6124030
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