Phil Huss

This study uses deep mutational scanning to analyze a phage tailspike protein, revealing structural constraints and adaptive flexibility that influence its function and host range.

This paper uses deep learning to design bacteriophage receptor binding proteins with multiobjective specificity, showing high tunability and success rates in targeting diverse strains.

This paper introduces Meta-SIFT, a method to discover functional sequence motifs in metagenomes to engineer bacteriophage activity, demonstrating its utility in creating variants with novel host specificity.

The paper introduces PHAGEPACK, a CRISPR-based assay to systematically identify host genes affecting phage infectivity, revealing new pathways in both permissive and non-permissive E. coli.

This paper introduces Sensor-seq, a high-throughput platform to design and identify allosteric transcription factor biosensors for non-native ligands, demonstrating utility with novel biosensors for naltrexone and quinine.

This study examines T7 bacteriophage and E. coli interactions in microgravity, finding delayed initial phage activity but eventual success with mutations enhancing fitness and revealing differences in mutational preferences.

This study engineers a controllable infectivity switch in bacteriophage T7 using synthetic promoters and ribosome binding sites, showing tunable virulence and latency.

The paper uses deep mutational scanning to map the functional landscape of the T7 bacteriophage receptor binding domain, identifying host-specific functional residues and tradeoffs between activity and host range.