A Computational Assay to Design an Epitope-Based Peptide Vaccine against Saint Louis Encephalitis Virus

Hasan, Md. Anayet; Hossain, M. Amzad; Alam, Md. Jibran

doi:10.4137/bbi.s13402

Cited by 57 publications

(45 citation statements)

References 50 publications

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“…B cell epitope is characterized by being accessible and antigenic [29]. B cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR) (http://tools.…”

Section: Prediction Of B-cell Epitopesmentioning

confidence: 99%

Prediction and Conservancy Analysis of Multiepitope Based Peptide Vaccine Against Merkel Cell Polyomavirus: An Immunoinformatics Approach

Awad-Elkareem¹,

Osman²,

Mohamed³

et al. 2017

Immunome Res

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Merkel cell Polyomavirus is non-enveloped, dsDNA virus belonging to Polyomaviridae family linked to an uncommon aggressive skin malignancy. The poor prognosis and limited understanding of disease pathogenesis warrants innovative treatment. In this current study we aim to predict TB cell immunogenic epitopes from the VP1 protein of all merkel cell polyomavirus strain which will aid in effective epitope based vaccine design using immuoinformatics approaches. We retrieved 423 full-length VP1 protein sequences of merkel cell polyomavirus species from the NCBI database. These sequences were analyzed to determine the conserved region and were used to predict the epitopes using the IEDB immunoinformatics algorithms. For B cell three epitope were predicted as peptide vaccine (QEKTVY, KTVYPK, and QEKTVYP). For T cell the predicted Class-I peptides (SLFSNLMPK, LQMWEAISV and LLVKGGVEV) were found to cover the maximum number of MHC I alleles. The highest scoring Class II MHC binding peptides were (IELYLNPRM, ISSLINVHY and INSLFSNLM). Further experiments will need to be undertaken to confirm the potential of these predicted epitopes in a future efficacious vaccine development.

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“…B cell epitope is characterized by being accessible and antigenic [29]. B cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR) (http://tools.…”

Section: Prediction Of B-cell Epitopesmentioning

confidence: 99%

Prediction and Conservancy Analysis of Multiepitope Based Peptide Vaccine Against Merkel Cell Polyomavirus: An Immunoinformatics Approach

Awad-Elkareem¹,

Osman²,

Mohamed³

et al. 2017

Immunome Res

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“…As a result, the B-lymphocyte is differentiated into antibody-secreting plasma cell and memory cell. B cell epitope is characterized by being hydrophilic and accessible [25] .Thus, the classical propensity scale methods and hidden Markov model programmed softwares from IEDB analysis resource were used for:…”

Section: Sequence Based Methodsmentioning

confidence: 99%

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

St¹,

Salih²,

Basheir³

et al. 2018

Immunome Res

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“…This interaction leads to differentiation of B-lymphocyte into an antibody-secreting plasma cell and memory cell [32].…”

Section: B-cell Epitopes Predictionmentioning

confidence: 99%

Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Envelope Glycoprotein and Nucleocapsid Proteins of Sin Nombre Virus

Ab¹,

Sm²,

S³

et al. 2017

Immunome Res

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Sin Nombre virus is a category A pathogen with a reported mortality rate ranging from 30% to 50%. It was responsible for the 2012 Yosemite National Park outbreak. Until now, Specific therapy is not available for the treatment of HCPS caused by SNV. Despite many efforts to develop safe and effective vaccines against SNV, included conventional approaches as well as molecular vaccine approaches, to date there are no vaccines proven to be highly efficacious against SNV. In our study, we analyzed envelope glycoprotein and nucleocapsid of SNV by using immunoinformatics tools housed in IEDB resources; in order to determine the most conserved and immunogenic epitopes for B-and T-cells. Then the predicted epitopes were assessed for the population coverage against the whole world population with the MHC-I and MHC-II restricted alleles. Among predicted epitopes for B-cell, the best candidates for glycoprotein and nucleocapsid were the epitope 743CKKYAYPWQT752 and the epitope 271QVDESKVS278, respectively. For glycoprotein CD8 + T cell predicted epitopes, the epitopes 208MTLPVTCFL216 and 458YTFTSLFSL466 were selected. Interestingly, the best candidates epitopes for nucleocapsid were the epitopes 25YILSFALPI133 and 239FLAARCPFL247 which had high affinity to interact with both MHC classes, I and II, and they had an excellent population coverage for Class I and II alleles throughout the world. To the best of our knowledge, our study for the first time has predicted a cocktail of B-and T-cell epitopes for designing an effective vaccine against HCPS caused by SNV

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A Computational Assay to Design an Epitope-Based Peptide Vaccine against Saint Louis Encephalitis Virus

Cited by 57 publications

References 50 publications

Prediction and Conservancy Analysis of Multiepitope Based Peptide Vaccine Against Merkel Cell Polyomavirus: An Immunoinformatics Approach

Prediction and Conservancy Analysis of Multiepitope Based Peptide Vaccine Against Merkel Cell Polyomavirus: An Immunoinformatics Approach

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

Immunoinformatics Predication and Modelling of a Cocktail of B- and T-cells Epitopes from Envelope Glycoprotein and Nucleocapsid Proteins of Sin Nombre Virus

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