Antonio Oliver

This study compares Galleria mellonella, epithelial cell cytotoxicity, and mouse models for measuring Pseudomonas aeruginosa virulence, finding G. mellonella correlates better with mouse results for population-level trends.

This study identifies 34 phage tail-like bacteriocins (PTLBs) in Pseudomonas aeruginosa genomes, with some showing strong antimicrobial activity against bacterial infections.

The paper identifies 12 new Pf-like phages in P. aeruginosa clinical isolates and links their presence to resistance against phage infection through novel anti-phage defence systems.

This study uses QSP modeling and population genomics to show that baseline resistance mechanisms in Pseudomonas aeruginosa affect bacterial killing and resistance emergence, and that fT>MIC cannot predict these outcomes.

This paper uses machine learning to predict the virulence of Pseudomonas aeruginosa isolates based on genomic data, achieving 75% accuracy using random forest models.