Prediction of strain level phage–host interactions across the Escherichia genus using only genomic information
#3PRI RANKED
Most Cited Paper
in Bacteriophages and microbial interactions
18 Months Post-Publication
Class of 2026
“Prediction of strain level phage–host interactions across the Escherichia genus using only genomic information”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/bacteriophages-and-microbial-interactions/2026/
Topics
Phage-host interactions · Strain-level prediction · Escherichia coli · Genomic features · Bacteriophages · Host range · computational prediction model · phage receptor binding proteins · Bacterial surface receptors · machine learning · Genomic features · phage infectivity · Escherichia coli · Phage genomes · host genome sequences · cross-strain prediction
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Bacteriophages and microbial interactions Papers, Class of 2026. https://pri.pepkio.com/top-papers/bacteriophages-and-microbial-interactions/2026. Accessed 2026-07-17. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459