In Silico Modeling and Immunoinformatics Probing Disclose the Epitope Based PeptideVaccine Against Zika Virus Envelope Glycoprotein
Autor(es): Shawan, Mohammad Mahfuz AliKhan , AlMahmud, Hafij ; Hasan, Md Mahmudul ; Parvin, Afroza ; Rahman, Md Nazibur ; Rahman, S. M. Badier
Resumo: In this study, amino acid sequence of ZIKV envelope glycoprotein was obtained from a protein database and examined with in silico approaches to determine the most immunogenic epitopes for B cell and T cell which could induce humoral as well as cell mediated immune response. Both the linear and conformational epitopes for B cell were predicted by immunoinformatics tools housed in IEDB resources. The peptide sequence DAHAKRQTVVVLGSQEGAV from position 121 and peptide sequence from 117-137 amino acids were predicted as most potential B cell linear and conformational epitopes respectively. Epitopes for CD4+ and CD8+ T cell were also predicted by using tools within IEDB resource and peptide sequence MMLELDPPF from position 250-258 amino acids was predicted as most immunogenic CD8+ T cell epitope with immune response evoking ability prediction score (I pMHC) of 0.09139 and conservancy of 52.17%. The innate immune response for ZIKV envelope glycoprotein was determined by interferon (IFN)-gamma effectuation and mimicking capacity by immunoinformatics and molecular docking study respectively.
Imprenta: Indian Journal of Pharmaceutical and Biological Research, v. 2, n. 4, p. 44, 2014
Descritores: Zika virus - Cell ; Zika virus - DNA ; Zika virus - Immune response ; Zika virus - Proteins ; Zika virus - Immune response ; Zika virus - Immunology ; Zika virus - T lymphocytes ; Zika virus - Immunology
Data de publicação: 2014
