Aaron Weimann

This study determines the structure of CdrA, a fibrillar adhesin in Pseudomonas aeruginosa, revealing its role in biofilm formation and identifying targets for inhibition.

This study shows that Pseudomonas aeruginosa uses motility to enhance phagocytosis by macrophages, while reduced motility in chronic infections helps evade engulfment, and T3SS activity enables acute immune evasion.

The paper analyzes defence system interactions in Pseudomonas aeruginosa genomes to understand their role in shaping accessory genome dynamics and ecological patterns.

Trained on over 1.3 million bacterial genomes represented as ordered protein sequences, the transformer foundation model Bacformer predicts protein interactions, operons, essentiality, and phenotypes while generating trait-conditioned synthetic proteomes.

A uniformly processed set of 2,440,377 bacterial and archaeal genomes with search tools and annotations, plus an AI-mined peptide set yielding ATB20, active in a mouse skin infection model.

This study introduces GeneBac, a deep learning model that predicts antibiotic resistance from bacterial genomic sequences, showing accurate MIC prediction and variant effect assessment.

Panaroo's graph-based pangenome clustering uses gene adjacency across genomes to correct annotation errors, shrinking spurious accessory genomes and enlarging core genomes in simulated and real bacteria.