2015
DOI: 10.1007/s12250-014-3504-0
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Design of a heterosubtypic epitope-based peptide vaccine fused with hemokinin-1 against influenza viruses

Abstract: Influenza viruses continue to emerge and re-emerge, posing new threats for public health. Control and treatment of influenza depends mainly on vaccination and chemoprophylaxis with approved antiviral drugs. Identification of specific epitopes derived from influenza viruses has significantly advanced the development of epitope-based vaccines. Here, we explore the idea of using HLA binding data to design an epitope-based vaccine that can elicit heterosubtypic T-cell responses against circulating H7N9, H5N1, and … Show more

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Cited by 20 publications
(16 citation statements)
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“…The majority of available in silico methods for predicting B-cell immunogenic regions focus on linear epitopes and are based on several amino acid-based propensity scales, including hydrophilicity, solvent accessibility, secondary structure, flexibility, and antigeneicity. 23,29,32 The total residues lying in HA2/Mx1 B cell epitopes were differ from other constructs. Nearly half of amino acid residues in each predicted B cell epitope belonging to different antigenic regions were hydrophobic and the common residues were L, E, A, and V. Since such amino acid residues do not directly contribute to the interaction with antibodies, the surface structures of antigenic sites that are accessible for antibodies were detected.…”
Section: Influenza Peptide Vaccinementioning
confidence: 89%
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“…The majority of available in silico methods for predicting B-cell immunogenic regions focus on linear epitopes and are based on several amino acid-based propensity scales, including hydrophilicity, solvent accessibility, secondary structure, flexibility, and antigeneicity. 23,29,32 The total residues lying in HA2/Mx1 B cell epitopes were differ from other constructs. Nearly half of amino acid residues in each predicted B cell epitope belonging to different antigenic regions were hydrophobic and the common residues were L, E, A, and V. Since such amino acid residues do not directly contribute to the interaction with antibodies, the surface structures of antigenic sites that are accessible for antibodies were detected.…”
Section: Influenza Peptide Vaccinementioning
confidence: 89%
“…Recently many approaches have been applied to introduce a proper adjuvant for enhancing immunity against influenza. [21][22][23][24] However, some post vaccination adverse reactions frequently occurs in recipients. This study was based on the idea of introducing a biological adjuvant to reduce the frequency of the reactions by using in silico prediction, which can save the expense of synthetic peptides and the working time.…”
Section: Influenza Peptide Vaccinementioning
confidence: 99%
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