In silico Prediction of Peptide based Vaccine against Fowlpox Virus (FPV)

St, Idris; Salih, Shirin Hama; Basheir, M; El-Hadi, Abeer A.; Kamel, Sahar Hussein; Ka, Abdelrahman; Hamdi, Ahmed; Ma, Hassan

doi:10.4172/1745-7580.1000154

Cited by 5 publications

(1 citation statement)

References 29 publications

(37 reference statements)

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“…In this regard, proteomics, bioinformatics, and immunoinformatics have been used in computational vaccine design to lay the groundwork for generating vaccines as inexpensively and quickly as feasible. 20 Previously, in silico vaccines on Avian Influenza virus, 21 Fowl Pox virus, 22 Newcastle disease virus, 23 and others have been successfully designed. Thus, the purpose of this study was to construct a multi epitope-based peptide vaccine candidate that would effectively fight ARV infection and trigger an immune response that would effectively combat ARV infection, trigger an immune response to destroy the virus, and ensure the safety of the poultry industry.…”

Section: Introductionmentioning

confidence: 99%

Designing and development of efficient multi-epitope-based peptide vaccine candidate against emerging avian rotavirus strains: A vaccinomic approach

Hasan,

Ahmed,

Imranuzzaman

et al. 2024

Journal of Genetic Engineering and Biotechnology

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Section: Introductionmentioning

confidence: 99%

Designing and development of efficient multi-epitope-based peptide vaccine candidate against emerging avian rotavirus strains: A vaccinomic approach

Hasan,

Ahmed,

Imranuzzaman

et al. 2024

Journal of Genetic Engineering and Biotechnology

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Multi-epitope-Based Vaccine Designed by Targeting Cytoadherence Proteins of Mycoplasma gallisepticum

Mugunthan

Harish

2021

ACS Omega

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Mycoplasma gallisepticum causes chronic respiratory disease in chickens leading to large economic losses in the poultry industry, and the impacts remain to be a great challenge for a longer period. Among the other approaches, a vaccine targeting the adhesion proteins of M. gallisepticum would be a promising candidate in controlling the infection. Thus, the present study is aimed to design a multi-epitope vaccine candidate using cytoadhesion proteins of M. gallisepticum through an advanced immunoinformatics approach. As a result, the multi-epitope vaccine was constructed, which comprised potential T-cell and B-cell binding epitopes with appropriate adjuvants. The designed multi-epitope vaccine represented high antigenicity with viable physiochemical properties. The prospective three-dimensional structure of the epitope was predicted, refined, and validated. The molecular docking analysis of multi-epitope vaccine candidates with the chicken Toll-like receptor-5 predicted effective binding. Furthermore, codon optimization and in silico cloning ensured high expression. Thus, the present finding indicates that the engineered multi-epitope vaccine is structurally stable and can induce a strong immune response. Furthermore, the multi-epitope vaccine is suggested to be a suitable vaccine candidate for the M. gallisepticum infection due to its effective binding capacity and precise specificity.

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

Gaafar

Ali

Abd-elrahman

et al. 2019

Journal of Immunology Research

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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 142PPERV146 and 63DPLSP67 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 45MFLSLIGLL53 from the H protein interacted with four BoLA alleles, while 276FKKILCYPL284 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, 358STKSCARTL366 from the F protein interacted with five alleles, followed by 340SQNALYPMS348 and 442IDLGPAISL450 that interacted with three alleles each. The epitopes from the N protein displayed strong interaction with BoLA alleles such as 490RSAEALFRL498 that interacted with five alleles, followed by two epitopes 2ATLLKSLAL10 and 304QQLGEVAPY312 that interacted with four alleles each. In addition to that, four epitopes 3TLLKSLALF11, 356YFDPAYFRL364, 360AYFRLGQEM368, and 412PRQAQVSFL420 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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In silico Prediction of Peptide based Vaccine against Fowlpox Virus (FPV)

Cited by 5 publications

References 29 publications

Designing and development of efficient multi-epitope-based peptide vaccine candidate against emerging avian rotavirus strains: A vaccinomic approach

Designing and development of efficient multi-epitope-based peptide vaccine candidate against emerging avian rotavirus strains: A vaccinomic approach

Multi-epitope-Based Vaccine Designed by Targeting Cytoadherence Proteins of Mycoplasma gallisepticum

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

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