ArticlemSystems2021
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Precision phage therapy in the AI/ML era: a systematic review of discovery-to-clinical translation evidence.Frontiers in microbiology · 2026Pooled it
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- Article
- StackPVP: a stacked ensemble classification framework for predicting phage virion proteins using integrated evolutionary features.Frontiers in microbiology · 2026Article
- Phage therapy againstFrontiers in microbiology · 2026Review
- Highly stable bacteriophages PIN1 and PIN2 have hallmarks of flagellotropic phages but infect immotile bacteria.Npj viruses · 2025Article
- CombattingAntibiotics (Basel, Switzerland) · 2025Review
- Telomere bacteriophages are widespread and equip their bacterial hosts with potent interbacterial weapons.Science advances · 2025Article
- The gut virome and human health: From diversity to personalized medicine.Engineering microbiology · 2025Review
- Ethical bioprospecting and microbial assessments for sustainable solutions to the AMR crisis.IUBMB life · 2025Review
- Optimizing phage therapy with artificial intelligence: a perspective.Frontiers in cellular and infection microbiology · 2025Review
- Article
- A Klebsiella-phage cocktail to broaden the host range and delay bacteriophage resistance both in vitro and in vivo.NPJ biofilms and microbiomes · 2024Article
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Isolation and genome sequencing of five lytic bacteriophages from hospital wastewater in the Philippines.Microbiology resource announcements · 2023Article
- PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria.Nucleic acids research · 2022Article
- Mechanistic Insights into the Capsule-Targeting Depolymerase from a Klebsiella pneumoniae Bacteriophage.Microbiology spectrum · 2021Article
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 3 countries.
Funding
Abstract
Antimicrobial resistance (AMR) continues to evolve as a major threat to human health, and new strategies are required for the treatment of AMR infections. Bacteriophages (phages) that kill bacterial pathogens are being identified for use in phage therapies, with the intention to apply these bactericidal viruses directly into the infection sites in bespoke phage cocktails. Despite the great unsampled phage diversity for this purpose, an issue hampering the roll out of phage therapy is the poor quality annotation of many of the phage genomes, particularly for those from infrequently sampled environmental sources. We developed a computational tool called STEP
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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.