Evidence map›Paper›PMID 41169925›Full record

ArticlePHAGE (New Rochelle, N.Y.)2025

NRG-P0074 Viral Sample RU1 from Unclassified

Rachel M Carson, Ranee K Anderson, Shijie Qin, Brenda Werner, Sam R Nugen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PHAGE (New Rochelle, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rachel M CarsonDepartment of Food Science, Cornell University, Ithaca, New York, USA.
Ranee K AndersonDepartment of Food Science, Cornell University, Ithaca, New York, USA.
Shijie QinDepartment of Food Science, Cornell University, Ithaca, New York, USA.
Brenda WernerDepartment of Food Science, Cornell University, Ithaca, New York, USA.
Sam R NugenDepartment of Food Science, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0003-3638-1776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Machine learning models for phage-host range prediction and design require comprehensive training data on phage genomes and host ranges to predict phage-host interactions effectively. Materials and Methods: This study characterizes phage sample NRG-P0074 viral sample RU1 from unclassified Results: The genome of NRG-P0074 spans 168,357 base pairs with a guanine-cytosine (GC) content of 37.5%. NRG-P0074 exhibited permissiveness in 15.28% of the ECOR isolates and all 9 Keio knockout strains. Comparative genomic analysis revealed that NRG-P0074 is closely related to Conclusions: This research provides valuable data for developing machine learning models to predict phage-host interactions, aiding the development of targeted phage therapies against antibiotic-resistant bacteria.

Indexed as

bacteriophageECOR LibraryKeio collectionmachine learningNRG-P0074RU1unclassified Mosigvirus

Identifiers

PMID41169925
PMCPMC12570860

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.