Isabella Murray

This study identifies host determinants for phage infection in Mycobacterium smegmatis using CRISPR interference, revealing receptor proteins and lipid components involved in phage entry.

This study identifies host factors critical for ssRNA and ssDNA phage infection in E. coli, revealing conserved dependencies and lineage-specific requirements.

This paper constructs a phage-bacteria interaction atlas for Klebsiella pneumoniae and develops a genome-guided machine learning model to predict phage-host interactions, outperforming traditional methods.

This study identifies 42 bacterial genes involved in Klebsiella phage infection using RB-TnSeq, revealing cross-family resistance and genus-specific gene dependencies.

The paper develops a genome-based framework to predict bacteriophage infectivity against diverse Pseudomonas aeruginosa strains using machine learning and experimental data.