Evidence map›Paper›PMID 41103543›Full record

ArticleBioinformatics advances2025

Felipe Molina, Manuel Menor-Flores, Miguel A Vega-Rodríguez

Abstract read
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors.

Felipe MolinaDepartamento de Bioquímica y Biología Molecular y Genética, Universidad de Extremadura, 06006 Badajoz, Spain.ORCID https://orcid.org/0000-0002-9167-7097
Manuel Menor-FloresEscuela Politécnica, Universidad de Extremadura, 10003 Cáceres, Spain.
Miguel A Vega-RodríguezEscuela Politécnica, Universidad de Extremadura, 10003 Cáceres, Spain.ORCID https://orcid.org/0000-0002-3003-758X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Phage therapy is emerging as a promising alternative to antibiotics in biomedical research, highlighting the growing need for computational tools to rationally design effective phage cocktails. However, its clinical potential is often compromised by the evolution of heritable bacterial resistance, which is frequently exacerbated by repeated phage exposure. This can lead to broad-spectrum cross-resistance and reduced long-term efficacy. Existing approaches typically rely on host range matrices but often overlook viral interference and the complex, non-binary nature of virus-host interactions. Results: We present Availability and implementation:

Identifiers

PMID41103543
PMCPMC12527336

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.