Julienne Petit

Deep learning extracts MoA-specific signatures from high-throughput images of chemically and genetically perturbed Corynebacteria

This paper develops a deep learning model to identify drug modes of action from high-throughput images of chemically and genetically perturbed Corynebacteria.

Deep learning recognises antibiotic modes of action from brightfield images

This paper uses deep learning to identify antibiotic modes of action from brightfield images without fluorescent labeling, achieving high accuracy in detecting drug exposure and novel mechanisms.

Automated Optimization of Bacterial Tracking Pipelines with TrackMate 8

The paper introduces an automated framework for optimizing bacterial tracking pipelines using TrackMate 8, demonstrating its effectiveness on two use cases.

Functional dissection of Wag31 domains for septal recruitment and polar distribution during the cell cycle

This study identifies domains of Wag31 essential for septal recruitment and polar distribution during the cell cycle in Corynebacterium glutamicum.

Cryo-EM structure and polar assembly of the PS2 S-layer of Corynebacterium glutamicum

The paper determines the atomic structure of the PS2 S-layer from Corynebacterium glutamicum using cryo-EM and shows its polar assembly mechanism and phylogenetic distribution.

Mechanistic insights into the allosteric regulation of cell wall hydrolase RipA in Mycobacterium tuberculosis.

This study investigates the regulatory mechanism of RipA, a cell wall hydrolase in Mtb, through structural and functional analysis of the SteAB system.