Anthony Meger

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.

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 redesigns bacterial RNA polymerase promoter specificity using computational design and screening to create orthogonal sigma factors that recognize new promoter targets.

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.

This paper presents a computational method to optimize split protein systems by guiding the evaluation of mutants to find an optimal functional window.