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Dataset Information

Designing of Potential Polyvalent Vaccine Model for Respiratory Syncytial Virus by System Level Immunoinformatics Approaches.


ABSTRACT:

Background

Respiratory syncytial virus (RSV) infection is a public health epidemic, leading to around 3 million hospitalization and about 66,000 deaths each year. It is a life-threatening condition exclusive to children with no effective treatment.

Methods

In this study, we used system-level and vaccinomics approaches to design a polyvalent vaccine for RSV, which could stimulate the immune components of the host to manage this infection. Our framework involves data accession, antigenicity and subcellular localization analysis, T cell epitope prediction, proteasomal and conservancy evaluation, host-pathogen-protein interactions, pathway studies, and in silico binding affinity analysis.

Results

We found glycoprotein (G), fusion protein (F), and small hydrophobic

SUBMITTER: Naqvi STQ 

PROVIDER: S-EPMC8177976 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature