About: In silico CD4+, CD8+ T-cell and B-cell immunity associated immunogenic epitope prediction and HLA distribution analysis of Zika virus

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: In silico CD4+, CD8+ T-cell and B-cell immunity associated immunogenic epitope prediction and HLA distribution analysis of Zika virus Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	In silico CD4+, CD8+ T-cell and B-cell immunity associated immunogenic epitope prediction and HLA distribution analysis of Zika virus
Creator	Dhasmana, Anupam Haque, Shafiul Lohani, Mohtashim Raza, Sana Srivastava, Vandana Areeshi, Mohammed Arif, Jamal Janahi, Essam Sarangi, Aditya Saxena, Anand Bhatt, Bramha Essam, Mohammed Janahi, Lal, Madan
source	PMC
abstract	Zika virus (ZIKV) is a mosquito-borne flavivirus distributed all over Africa, South America and Asia. The infection with the virus may cause acute febrile sickness that clinically resembles dengue fever, yet there is no vaccine, no satisfactory treatment, and no means of evaluating the risk of the disease or prognosis in the infected people. In the present study, the efficacy of the host's immune response in reducing the risk of infectious diseases was taken into account to carry out immuno-informatics driven epitope screening strategy of vaccine candidates against ZIKV. In this study, HLA distribution analysis was done to ensure the coverage of the vast majority of the population. Systematic screening of effective dominant immunogens was done with the help of Immune Epitope & ABCPred databases. The outcomes suggested that the predicted epitopes may be protective immunogens with highly conserved sequences and bear potential to induce both protective neutralizing antibodies, T & B cell responses. A total of 25 CD4+ and 16 CD8+ peptides were screened for T-cell mediated immunity. The predicted epitope %22TGLDFSDLYYLTMNNKHWLV%22 was selected as a highly immunogenic epitope for humoral immunity. These peptides were further screened as non-toxic, immunogenic and non-mutated residues of envelop viral protein. The predicted epitope could work as suitable candidate(s) for peptide based vaccine development. Further, experimental validation of these epitopes is warranted to ensure the potential of B- and T-cells stimulation for their efficient use as vaccine candidates, and as diagnostic agents against ZIKV.
has issue date	2017-01-13(xsd:dateTime)
bibo:doi	10.17179/excli2016-719
bibo:pmid	28435428
has license	cc-by
sha1sum (hex)	57bac09c0563474a03a233b1e7f60ed8c82a9642
schema:url	https://doi.org/10.17179/excli2016-719
resource representing a document's title	In silico CD4+, CD8+ T-cell and B-cell immunity associated immunogenic epitope prediction and HLA distribution analysis of Zika virus
has PubMed Central identifier	PMC5379118
has PubMed identifier	28435428
schema:publication	EXCLI J
resource representing a document's body	covid:57bac09c0563474a03a233b1e7f60ed8c82a9642#body_text
is schema:about of	named entity 'ANALYSIS' named entity 'IMMUNOGENIC' named entity 'HLA' named entity 'EPITOPE PREDICTION' named entity 'HLA' named entity 'B-CELL' named entity 'IMMUNITY' named entity 'IN SILICO' named entity 'ASSOCIATED' named entity 'DISTRIBUTION' named entity 'T-CELL' named entity 'ZIKA VIRUS' named entity 'CD4' named entity 'CD8' named entity 'ZIKA VIRUS' named entity 'T-CELL' named entity 'protein' named entity 'immunogenic' named entity 'epitope' named entity 'Zika forest' named entity 'Flaviviridae' named entity 'HLA' named entity 'MHC-I' named entity 'epitopic' named entity 'vaccine' named entity 'antigenicity' named entity 'epitopes' named entity 'antigens' named entity 'H1N1' named entity 'epitopes' named entity 'vaccine' named entity 'deionized water' named entity 'T-cell activation' named entity 'epitopes' named entity 'peptides' named entity 'immunogenic' named entity 'viral envelope protein' named entity 'open reading frame' named entity 'immunogenicity' named entity 'HLA' named entity 'HLA' named entity 'epitope' named entity 'isopropanol' named entity 'acetic acid' named entity 'virus' named entity 'conserved regions' named entity 'vaccine' named entity 'CD4+' named entity 'virus' named entity 'epitopes' named entity 'worldwide distribution' named entity 'epitope' named entity 'antigen' named entity 'Zika' named entity 'CD4+ T-cells' named entity 'virus' named entity 'epitopes' named entity 'SVM' named entity 'epitopes' named entity 'Zika fever' named entity 'helper T-cell' named entity 'MHC' named entity 'epitopes' named entity 'epitope' named entity 'HLA' named entity 'HLA' named entity 'virus' named entity 'peptide'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software