ArticleAntonie van Leeuwenhoek2026
Molecular characterization and immunoinformatics-based design of a multi-epitope vaccine against Staphylococcus nepalensis.
Article in Antonie van Leeuwenhoek, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- In silico design and evaluation of a multi-epitope vaccine targeting eyach virus for the prevention of tick-borne encephalitis in humans.Scientific reports · 2026Article
- Designing a multi-epitope vaccine against yellow fever virus using immunoinformatics approaches.Open medicine (Warsaw, Poland) · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Staphylococcus nepalensis has recently been identified in clinical settings, raising questions regarding its potential role as an emerging opportunistic pathogen. However, no vaccine-based preventive strategy has yet been proposed against this bacterium. The objective of this study was to characterize a clinical isolate using PCR-based molecular identification and to design a rational multi-epitope vaccine candidate against S. nepalensis through an integrated immunoinformatics-driven reverse vaccinology approach. Species-level identification was performed by PCR amplification and sequencing of the 16S rRNA gene. Antigenic proteins lacking predicted allergenic or toxic properties were selected for epitope mapping. Predicted linear B-cell, cytotoxic T lymphocyte, and helper T lymphocyte epitopes were further evaluated for sequence conservancy across available strains to ensure broad-spectrum coverage. Conserved epitopes were assembled into a single construct incorporating β-defensin and a PADRE sequence to enhance immunogenic potential. Structural modeling and validation suggested acceptable stereochemical quality, with 94.8% of residues located in favored regions of the Ramachandran plot. Disulfide engineering was performed to improve structural stability of the vaccine construct. Protein-protein docking computationally predicted favorable binding interactions between the vaccine construct and human TLR2 and TLR4 receptors, with ClusPro docking scores of -1489.2 and -1198.1, respectively. Molecular dynamics simulations suggested dynamic stability of the complexes over a 100 ns trajectory. Immune simulation analyses indicated the potential activation of both humoral and cellular immune responses, including antibody production and cytokine secretion. Codon optimization and in silico cloning suggested possible expression feasibility in Escherichia coli. Collectively, this study presents a computational framework for multi-epitope vaccine design against S. nepalensis, and the findings require experimental validation to confirm biological efficacy and immunogenicity.
Indexed as
Identifiers
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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 Socratic graph.