Evidence map›Paper›PMID 40347103›Full record

ArticleNucleic acids research2025

AmrProfiler: a comprehensive tool for identifying antimicrobial resistance genes and mutations across species.

Anargyros Skoulakis, Vasiliki Kostoula, Konstantinos Daniilidis, Christos-Georgios Gkountinoudis, Efthymia Petinaki, Artemis G Hatzigeorgiou

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Draft genome sequence ofMicrobiology resource announcements · 2026
    Article
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  4. Review
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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

6 authors.

Anargyros SkoulakisDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, 35131, Greece.ORCID 0009-0009-6257-5284
Vasiliki KostoulaComputing Systems Laboratory, National Technical University of Athens, 10682, Greece.
Konstantinos DaniilidisDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, 35131, Greece.
Christos-Georgios GkountinoudisDepartment of Medical Biopathology, University Hospital of Larissa, Thessaly, 41110, Greece.
Efthymia PetinakiDepartment of Medical Biopathology, University Hospital of Larissa, Thessaly, 41110, Greece.
Artemis G HatzigeorgiouDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, 35131, Greece.ORCID 0000-0003-1414-5668

Funding

Greece 2.0 16971Greece 2.0 TAEDK-06179Hellenic Foundation for Research and Innovation 20480Operational Program Competitiveness, Entrepreneurship and Innovation
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) remains a critical challenge in public health and research. AmrProfiler is a comprehensive tool with three specialized modules: identifying acquired AMR genes, resistance-associated mutations, and ribosomal RNA (rRNA) gene mutations across nearly 18 000 bacterial species. By integrating and refining data from established databases, it provides a robust framework for AMR analysis. AmrProfiler is the first to systematically report mutations in rRNA genes, offering in-depth analysis of rRNA copy numbers and mutations-key for identifying potential rRNA-associated resistance mechanisms. Its curated database includes 7600 unique AMR gene entries and over 4300 resistance-related mutations. Supporting genome assemblies in multiple formats, AmrProfiler allows users to customize detection thresholds for AMR genes, mutations, and rRNA analysis. Validation with Acinetobacter baumannii,Escherichia coli,Klebsiella pneumoniae,Staphylococcus aureus, and Staphylococcus epidermidis demonstrated that AmrProfiler accurately identified all AMR genes and mutations reported by other tools while also detecting additional resistance markers and mutations not previously recognized. By bridging AMR genotypes and phenotypes, AmrProfiler provides actionable insights that advance both research and clinical applications in AMR. AmrProfiler is freely available as an open-access web server without login at https://dianalab.e-ce.uth.gr/amrprofiler.

Indexed as

BacteriaDrug Resistance, BacterialGenes, BacterialMutationSoftwareAnti-Bacterial AgentsDatabases, GeneticEscherichia coliRNA, RibosomalStaphylococcus aureusAnti-Bacterial AgentsRNA, Ribosomal

Identifiers

PMID40347103
PMCPMC12230725

What OpenQuestion holds

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LicenceCC BY-NC
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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.