Comprehensive interaction profiling and machine learning prediction of bacteriophage infectivity across clinically diverse Pseudomonas aeruginosa
Denish Piya, Avery J. C. Noonan, Hemaa Selvakumar, Mohamad Alayouni, Sarshad Koderi Valappil, Flavien Maucourt, Isabella Murray, Madeline Svab, Collis Bousliman, Matthew Heidenblut, Britney Orihuela, Alexey Kazakov, Hans K. Carlson, Yiyan Yao, Emerson Smith, , Vivek K. Mutalik
The paper develops a genome-based framework to predict bacteriophage infectivity against diverse Pseudomonas aeruginosa strains using machine learning and experimental data.
bioRxiv · May 20, 2026 · PreprintMicrobiology