Jonathan P. Allen

This study investigates contact-dependent growth inhibition (CDI) in Pseudomonas aeruginosa, identifying novel toxin domains and demonstrating their role in strain competition during infection.

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