ArticleAdvanced healthcare materials2024
A pH-Responsive Virus-Like Particle as a Protein Cage for a Targeted Delivery.
Article in Advanced healthcare materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 13 citations in OpenAlex.
- Peptide-Ligand Cooperative Interplay Drives Gold Nanoparticle Encapsulation by Protein Cages.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- The Application of Micro/Nanorobots in Cancer Therapy.Micromachines · 2026Review
- Downstream Purification Strategies for Virus-like Particles: A Systematic Review of Structure Preservation, Impurity Control, and Viral Safety.Microorganisms · 2026Review
- Screening metatranscriptomes for ultrastable RNA secondary structures reveals hidden bacteriophages and novel capsid nanomaterials.bioRxiv : the preprint server for biology · 2026Article
- Biological Nanoscaffolds from Hierarchical Construction to Applications.Molecules (Basel, Switzerland) · 2026Review
- Controlling nanocage assembly, towards developing a one-health "plug & play" platform for targeted therapy.Chemical communications (Cambridge, England) · 2025Review
- Colloidal Crystallization of Virus-Like Particles with Polycations.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Virus-like Particles as Vaccines for Allergen-Specific Therapy: An Overview of Current Developments.International journal of molecular sciences · 2024Review
- A pH-Responsive Virus-Like Particle as a Protein Cage for a Targeted Delivery.Advanced healthcare materials · 2024Article
- Strategies for controlled assembly of rod-shaped viral particles.Biotechnology advancesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
A stimuli-responsive protein self-assembly offers promising utility as a protein nanocage for biotechnological and medical applications. Herein, the development of a virus-like particle (VLP) that undergoes a transition between assembly and disassembly under a neutral and acidic pH, respectively, for a targeted delivery is reported. The structure of the bacteriophage P22 coat protein is used for the computational design of coat subunits that self-assemble into a pH-responsive VLP. Subunit designs are generated through iterative computational cycles of histidine substitutions and evaluation of the interaction energies among the subunits under an acidic and neutral pH. The top subunit designs are tested and one that is assembled into a VLP showing the highest pH-dependent structural transition is selected. The cryo-EM structure of the VLP is determined, and the structural basis of a pH-triggered disassembly is delineated. The utility of the designed VLP is exemplified through the targeted delivery of a cytotoxic protein cargo into tumor cells in a pH-dependent manner. These results provide strategies for the development of self-assembling protein architectures with new functionality for diverse applications.
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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.