About: Epitope-Based Peptide Vaccine against Glycoprotein G of Nipah Henipavirus Using Immunoinformatics Approaches

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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
has title	Epitope-Based Peptide Vaccine against Glycoprotein G of Nipah Henipavirus Using Immunoinformatics Approaches
Creator	Hassan, Mohamed Elfadol, Nafisa Mustafa, Mujahed Shantier, Shaza Abdalla, Alaa Abdelrhman, Fatima Ahmed, Yassir Elmansi, Hashim Elnnewery, Mihad Mahmoud, Eiman Mohammed, Arwa Mohammed, Rawan Mustafa, Marwa Osman, Hind Osman, Isam-Aldin Yagaub, Ahmed Yousif, Einas
Source	PMC
abstract	BACKGROUND: Nipah belongs to the genus Henipavirus and the Paramyxoviridae family. It is an endemic most commonly found at South Asia and has first emerged in Malaysia in 1998. Bats are found to be the main reservoir for this virus, causing disease in both humans and animals. The last outbreak has occurred in May 2018 in Kerala. It is characterized by high pathogenicity and fatality rates which varies from 40% to 70% depending on the severity of the disease and on the availability of adequate healthcare facilities. Currently, there are no antiviral drugs available for NiV disease and the treatment is just supportive. Clinical presentations for this virus range from asymptomatic infection to fatal encephalitis. OBJECTIVE: This study is aimed at predicting an effective epitope-based vaccine against glycoprotein G of Nipah henipavirus, using immunoinformatics approaches. METHODS AND MATERIALS: Glycoprotein G of the Nipah virus sequence was retrieved from NCBI. Different prediction tools were used to analyze the epitopes, namely, BepiPred-2.0: Sequential B Cell Epitope Predictor for B cell and T cell MHC classes II and I. Then, the proposed peptides were docked using Autodock 4.0 software program. Results and Conclusions. The two peptides TVYHCSAVY and FLIDRINWI have showed a very strong binding affinity to MHC class I and MHC class II alleles. Furthermore, considering the conservancy, the affinity, and the population coverage, the peptide FLIDRINWIT is highly suitable to be utilized to formulate a new vaccine against glycoprotein G of Nipah henipavirus. An in vivo study for the proposed peptides is also highly recommended.
has issue date	2020-04-22(xsd:dateTime)
bibo:doi	10.1155/2020/2567957
bibo:pmid	32377531
has license	cc-by
sha1sum (hex)	e19d178256d9a36d3f224767dddf42294e808700
schema:url	https://doi.org/10.1155/2020/2567957
resource representing a document's title	Epitope-Based Peptide Vaccine against Glycoprotein G of Nipah Henipavirus Using Immunoinformatics Approaches
has PubMed Central identifier	PMC7193299
has PubMed identifier	32377531
schema:publication	J Immunol Res
resource representing a document's body	covid:e19d178256d9a36d3f224767dddf42294e808700#body_text
is schema:about of	named entity 'vivo' named entity 'emerged' named entity 'vaccine' named entity 'study' named entity 'disease' named entity 'NCBI' named entity 'study' named entity 'alleles' named entity 'Nipah henipavirus' named entity 'peptides' named entity 'Henipavirus' named entity 'docked' named entity 'T cell' named entity 'Nipah' named entity 'peptide' named entity 'Materials' named entity 'disease' named entity 'Epitope' named entity 'pathogenicity' named entity 'Glycoprotein' named entity 'peptides' named entity 'Paramyxoviridae' named entity 'epitope' named entity 'Kerala' named entity 'molecular weight' named entity 'fruit bats' named entity 'binding affinity' named entity 'MHC class II' named entity 'vaccine' named entity 'MHC class II' named entity 'MHC Class II' named entity 'alleles' named entity 'epitopes' named entity 'vaccination' named entity 'antigen' named entity 'disease susceptibility' named entity 'cell membranes' named entity 'genus' named entity 'immunizations' named entity 'genetic algorithm' named entity 'encephalitis' named entity 'zoonotically' named entity 'immunization' named entity 'alleles' named entity 'hydrolase' named entity 'alleles' named entity 'vaccination' named entity 'epitope' named entity 'MHC class I molecules' named entity 'epitopes' named entity 'molar' named entity 'HLA' named entity 'peptides' named entity 'physiological pH' named entity 'Nipah virus' named entity 'WHO' named entity 'pathogens' named entity 'B cell' named entity 'epitopes' named entity 'epitope' named entity 'Sudan' named entity 'epitopes' named entity 'cell-mediated immunity' named entity 'emerging infectious diseases' named entity 'glycoprotein'

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