Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predicting Pseudomonas aeruginosa susceptibility phenotypes from whole genome sequence resistome analysis.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases - 1 Nov 2021

Cortes-Lara Sara, Barrio-Tofiño Ester Del, López-Causapé Carla, Oliver Antonio

Abstract excerpt

OBJECTIVES: The aim was to develop and validate a Pseudomonas aeruginosa genotypic resistance score, based on analysis of the whole genome sequence resistome, to predict antimicrobial susceptibility phenotypes. METHODS: A scoring system based on the analysis of mutation-driven resistance in 40 chromosomal genes and horizontally acquired resistance (Resfinder) was developed for ceftazidime, ceftolozane/tazobactam,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Meropenem
Share to Anti-Bacterial Agents

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cephalosporins

Share to Drug Resistance, Multiple, Bacterial

Share to Genome, Bacterial

Share to Microbial Sensitivity Tests

Share to Pseudomonas aeruginosa

Share to Pseudomonas Infections

Source

Identifiers

PMID: 34015532
DOI: 10.1016/j.cmi.2021.05.011

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting Pseudomonas aeruginosa susceptibility phenotypes from whole genome sequence resistome analysis.PMID 34015532Read ↗

Correlation between phenotypic antibiotic susceptibility and the resistome in Pseudomonas aeruginosa.Semantic proximity Read ↗

PaREx: an open-source pipeline for the automated analysis of Pseudomonas aeruginosa resistomes from whole-genome sequences.Semantic proximity Read ↗

Keeping up with the pathogens: improved antimicrobial resistance detection and prediction from Pseudomonas aeruginosa genomes.Semantic proximity Read ↗

Keeping up with the pathogens: Improved antimicrobial resistance detection and prediction from<i>Pseudomonas</i>aeruginosa genomesSemantic proximity Read ↗

Comparative genomics of a drug-resistant Pseudomonas aeruginosa panel and the challenges of antimicrobial resistance prediction from genomes.Semantic proximity Read ↗

A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains.Semantic proximity Read ↗

Fighting antimicrobial resistance in <i>Pseudomonas aeruginosa</i> with machine learning-enabled molecular diagnosticsSemantic proximity Read ↗

Complex pathways to ceftolozane-tazobactam resistance in clinical <i>Pseudomonas aeruginosa</i> isolates: a genomic epidemiology studySemantic proximity Read ↗

Minimal Gene Signatures Enable High-Accuracy Prediction of Antibiotic Resistance in <i>Pseudomonas aeruginosa</i>Semantic proximity Read ↗

Direct prediction of antimicrobial resistance in Pseudomonas aeruginosa by metagenomic next-generation sequencingSemantic proximity Read ↗

Qualitative analysis of genomic mutations and antibiotic susceptibility testing of Pseudomonas aeruginosa isolates from chronic lung infections.Semantic proximity Read ↗

Elucidation of Mechanisms of Ceftazidime Resistance among Clinical Isolates of Pseudomonas aeruginosa by Using Genomic Data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.