Yuanzhe Shao

This paper introduces a genome-based pipeline to predict pyoverdine structures and their receptors in Pseudomonas using pHMMs and co-evolutionary analysis, validated across 14,230 genomes.

The paper develops a functional-space framework to analyze siderophore biosynthesis across bacteria, revealing ecological drivers over phylogenetic constraints.

The paper develops a bioinformatic pipeline to predict bacterial siderophore structures and receptors from genome sequences, revealing significant diversity in pyoverdines and their receptors.

The paper introduces a standardized NRPS architecture using conserved motifs, leading to new subtype classifications, novel motifs, and insights into reengineering challenges.