ReviewMicroorganisms2022
Computational Prediction of Bacteriophage Host Ranges.
Review in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Phage as a prospective arsenal against superbugs.Molecular biology reports · 2026Review
- From structure to design: experimental and AI-driven approaches in receptor-binding protein engineering for reprogramming phage host range.Archives of microbiology · 2026Review
- Metagenomic analysis of tongue samples from healthy subjects identifies distinct microbiome orotypes.Journal of oral microbiology · 2026Article
- The prototypic crAssphage is a linear phage-plasmid.Cell host & microbe · 2025Article
- CoMPHI: a novel composite machine learning approach utilizing multiple feature representation to predict hosts of bacteriophages.Frontiers in bioinformatics · 2025Article
- The arms race in bacteria-phage interaction: deciphering bacteria defense and phage anti-defense mechanisms through metagenomics.Frontiers in microbiology · 2025Review
- A novel framework for phage-host prediction via logical probability theory and network sparsification.Briefings in bioinformatics · 2024Article
- Predicting phage-host interactions via feature augmentation and regional graph convolution.Briefings in bioinformatics · 2024Article
- Prediction of Klebsiella phage-host specificity at the strain level.Nature communications · 2024Article
- Analysis and culturing of the prototypic crAssphage reveals a phage-plasmid lifestyle.bioRxiv : the preprint server for biology · 2024Article
- PB-LKS: a python package for predicting phage-bacteria interaction through local K-mer strategy.Briefings in bioinformatics · 2024Article
- Mathematical Modeling of Virus-Mediated Syncytia Formation: Past Successes and Future Directions.Results and problems in cell differentiation · 2024Review
- Computational host range prediction-The good, the bad, and the ugly.Virus evolution · 2024Article
- Mathematical comparison of protocols for adapting a bacteriophage to a new host.Virus evolution · 2024Article
- Genome analysis of triple phages that curtails MDR E. coli with ML based host receptor prediction and its evaluation.Scientific reports · 2023Article
- Special Issue "Bacteriophage Genomics": Editorial.Microorganisms · 2023Article
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- Going through phages: a computational approach to revealing the role of prophage inAccess microbiology · 2023Article
- Phylogenomic analyses and host range prediction of cluster P mycobacteriophages.G3 (Bethesda, Md.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Increased antibiotic resistance has prompted the development of bacteriophage agents for a multitude of applications in agriculture, biotechnology, and medicine. A key factor in the choice of agents for these applications is the host range of a bacteriophage, i.e., the bacterial genera, species, and strains a bacteriophage is able to infect. Although experimental explorations of host ranges remain the gold standard, such investigations are inherently limited to a small number of viruses and bacteria amendable to cultivation. Here, we review recently developed bioinformatic tools that offer a promising and high-throughput alternative by computationally predicting the putative host ranges of bacteriophages, including those challenging to grow in laboratory environments.
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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.