ArticleJournal of virology2025
From phenotype to receptor: validating physiological clustering of
Article in Journal of virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- A two-step bioconjugation ofRSC chemical biology · 2026Article
- Genomic and biological characterization of lytic phages infecting Pseudomonas syringae associated with almond bacterial blast.Scientific reports · 2026Article
- Phage cocktails: state-of-the-art technologies and strategies for effective design.FEMS microbiology reviews · 2026Review
- Novel Escherichia coli phages representing a distinct genus within the subfamily Stephanstirmvirinae: genome and host range characteristics.Archives of virology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Understanding the relationship between bacteriophage (phage) classification and target receptors is crucial for phage ecology and applied research. In this study, we compared 13 previously isolated IMPORTANCE: Phage therapy is gaining attention as an alternative treatment for antibiotic-resistant bacteria. Developing effective phage cocktails requires combining phages with different target receptors, but traditional methods for identifying target receptors are labor-intensive. This study demonstrates that E. coli phages targeting the TK001 strain with different target receptors can be grouped based on their physiological characteristics, tail fiber sequences, or whole genomes. Our approach was enhanced through systematic bacterial panel selection for host range assessment, optimized distance metrics for physiological characteristics, and objective cluster determination using silhouette coefficient analysis for all three classifications. This insight can be used to more efficiently create diverse phage cocktails. Additionally, we identified phages targeting diverse sites, including different regions of LPS, membrane proteins, and flagella. These findings deepen our understanding of phage host recognition mechanisms, enabling the rapid preparation of effective phage cocktails and contributing to new advancements in bacterial infection treatment.
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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.