ArticleAdvanced functional materials2019
A Modular Vaccine Platform Combining Self-Assembled Peptide Cages and Immunogenic Peptides.
Article in Advanced functional materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 49 citations in OpenAlex.
- Smart nanoparticle vaccines integrate nanotechnology artificial intelligence and immunoengineering for precision immunization.Discover nano · 2026Review
- Advances in mRNA LNP-Based Cancer Vaccines: Mechanisms, Formulation Aspects, Challenges, and Future Directions.Journal of personalized medicine · 2024Review
- Article
- Tailored Functionalized Protein Nanocarriers for Cancer Therapy: Recent Developments and Prospects.Pharmaceutics · 2023Review
- Self-assembled nanoparticles: A new platform for revolutionizing therapeutic cancer vaccines.Frontiers in immunology · 2023Review
- Supramolecular Assembly of His-Tagged Fluorescent Protein Guests within Coiled-Coil Peptide Crystal Hosts: Three-Dimensional Ordering and Protein Thermal Stability.ACS biomaterials science & engineering · 2022Article
- DogCatcher allows loop-friendly protein-protein ligation.Cell chemical biology · 2022Article
- Tubular Assembly Formation Induced by Leucine Alignment along the Hydrophobic Helix of Amphiphilic Polypeptides.International journal of molecular sciences · 2021Article
- De Novo Designed Peptide and Protein Hairpins Self-Assemble into Sheets and Nanoparticles.Small (Weinheim an der Bergstrasse, Germany) · 2021Review
- Coiled-Coil Based Inclusion Bodies and Their Potential Applications.Frontiers in bioengineering and biotechnology · 2021Review
- Controlled Lengthwise Assembly of Helical Peptide Nanofibers to Modulate CD8Advanced materials (Deerfield Beach, Fla.) · 2020Article
- Coiled-Coils: the Molecular Zippers that Self-Assemble Protein Nanostructures.International journal of molecular sciences · 2020Review
- A Modular Vaccine Platform Combining Self-Assembled Peptide Cages and Immunogenic Peptides.Advanced functional materials · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Subunit vaccines use delivery platforms to present minimal antigenic components for immunization. The benefits of such systems include multivalency, self-adjuvanting properties, and more specific immune responses. Previously, the design, synthesis, and characterization of self-assembling peptide cages (SAGEs) have been reported. In these, de novo peptides are combined to make hubs that assemble into nanoparticles when mixed in aqueous solution. Here it is shown that SAGEs are nontoxic particles with potential as accessible synthetic peptide scaffolds for the delivery of immunogenic components. To this end, SAGEs functionalized with the model antigenic peptides tetanus toxoid
Indexed as
Identifiers
What OpenQuestion holds
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.