ArticleAdvances in bioinformatics2014
Prediction of epitope-based peptides for the utility of vaccine development from fusion and glycoprotein of nipah virus using in silico approach.
Article in Advances in bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 60 citations in OpenAlex.
- Integrative immunogenomic strategy for designing a multi-epitope vaccine against Zika and Dengue viruses.Scientific reports · 2026Article
- Exploratory Evaluation of Peptide-Based Immunization Targeting Fusion Glycoprotein-Derived Epitopes of Nipah Virus in Murine Model.Vaccines · 2026Article
- Comprehensive immunoinformatics and bioinformatics strategies for designing a multi-epitope based vaccine targeting structural proteins of Nipah virus.Frontiers in immunology · 2025Article
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- Dominant Circulating Cell-free Mycobacterial Proteins in In-use Machining Fluid and their Antigenicity Potential.Current protein & peptide science · 2024Article
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- Glycoprotein attachment with host cell surface receptor ephrin B2 and B3 in mediating entry of nipah and hendra virus: a computational investigation.Journal of chemical sciences (Bangalore, India) · 2022Article
- Development of a Conserved Chimeric Vaccine for Induction of Strong Immune Response againstVaccines · 2021Article
- Proteome Based Approach Defines Candidates for Designing a Multitope Vaccine against the Nipah Virus.International journal of molecular sciences · 2021Article
- A novel 2 bp deletion variant in Ovine-DRB1 gene is associated with increased Visna/maedi susceptibility in Turkish sheep.Scientific reports · 2021Article
- Japanese encephalitis virus: A multi-epitope loaded peptide vaccine formulation using reverse vaccinology approach.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020Article
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- Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review.International journal of peptide research and therapeutics · 2020Review
- NipahVR: a resource of multi-targeted putative therapeutics and epitopes for the Nipah virus.Database : the journal of biological databases and curation · 2020Article
- Nipah virus: epidemiology, pathology, immunobiology and advances in diagnosis, vaccine designing and control strategies - a comprehensive review.The veterinary quarterly · 2019Review
- Overlapping CD8+ and CD4+ T-cell epitopes identification for the progression of epitope-based peptide vaccine from nucleocapsid and glycoprotein of emerging Rift Valley fever virus using immunoinformatics approach.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2017Article
- In silico prediction of monovalent and chimeric tetravalent vaccines for prevention and treatment of dengue fever.Journal of biomedical research · 2017Article
- In silico proposition to predict cluster of B- and T-cell epitopes for the usefulness of vaccine design from invasive, virulent and membrane associated proteins of C. jejuni.In silico pharmacology · 2016Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to design epitope-based peptides for the utility of vaccine development by targeting glycoprotein G and envelope protein F of Nipah virus (NiV) that, respectively, facilitate attachment and fusion of NiV with host cells. Using various databases and tools, immune parameters of conserved sequence(s) from G and F proteins of different isolates of NiV were tested to predict probable epitope(s). Binding analyses of the peptides with MHC class-I and class-II molecules, epitope conservancy, population coverage, and linear B cell epitope prediction were analyzed. Predicted peptides interacted with seven or more MHC alleles and illustrated population coverage of more than 99% and 95%, for G and F proteins, respectively. The predicted class-I nonamers, SLIDTSSTI and EWISIVPNF, superimposed on the putative decameric B cell epitopes, were also identified as core sequences of the most probable class-II 15-mer peptides GPKVSLIDTSSTITI and EWISIVPNFILVRNT. These peptides were further validated for their binding to specific HLA alleles using in silico docking technique. Our in silico analysis suggested that the predicted epitopes, either GPKVSLIDTSSTITI or EWISIVPNFILVRNT, could be a better choice as universal vaccine component against NiV irrespective of different isolates which may elicit both humoral and cell-mediated immunity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.