ArticlemSystems2020
Computational Basis for On-Demand Production of Diversified Therapeutic Phage Cocktails.
Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 20 citations in OpenAlex.
- Extensive screening of ten bacteriophage cocktails revealed an optimal combination with potent therapeutic activity against Acinetobacter baumannii.Scientific reports · 2026Article
- A fully synthetic Golden Gate assembly system for engineering aProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Phage Therapy: Application and Related Problems-A Review.Life (Basel, Switzerland) · 2025Review
- The TIGER/Islander resource for genomic islands.Microbiology resource announcements · 2025Article
- Synthesis of Headful Packaging Phages Through Yeast Transformation-Associated Recombination.Viruses · 2024Article
- Phytopathological management through bacteriophages: enhancing food security amidst climate change.Journal of industrial microbiology & biotechnology · 2024Review
- Speeding genomic island discovery through systematic design of reference database composition.PloS one · 2024Article
- Precise microbiome engineering using natural and synthetic bacteriophages targeting an artificial bacterial consortium.Frontiers in microbiology · 2024Article
- Review
- BigDNA: Primer Design Software for Overlap-Based Assembly of Phage Genomes and Larger DNAs.PHAGE (New Rochelle, N.Y.) · 2022Article
- Liposomal Delivery of Newly Identified Prophage Lysins in aInternational journal of molecular sciences · 2022Article
- A Phage Foundry Framework to Systematically Develop Viral Countermeasures to Combat Antibiotic-Resistant Bacterial Pathogens.iScience · 2022Review
- Review
- Exploiting interbacterial antagonism for microbiome engineering.Current opinion in biomedical engineering · 2021Article
- Review
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
No grant is acknowledged in the PubMed record.
Abstract
New therapies are necessary to combat increasingly antibiotic-resistant bacterial pathogens. We have developed a technology platform of computational, molecular biology, and microbiology tools which together enable on-demand production of phages that target virtually any given bacterial isolate. Two complementary computational tools that identify and precisely map prophages and other integrative genetic elements in bacterial genomes are used to identify prophage-laden bacteria that are close relatives of the target strain. Phage genomes are engineered to disable lysogeny, through use of long amplicon PCR and Gibson assembly. Finally, the engineered phage genomes are introduced into host bacteria for phage production. As an initial demonstration, we used this approach to produce a phage cocktail against the opportunistic pathogen
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.