Anne Marie Wehenkel

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

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.

This study shows that mycoloyltransferases are essential for mycomembrane assembly and cell division in Corynebacterium glutamicum, independent of their role in mycolic acid transfer.

This paper validates Corynebacterium glutamicum as a non-pathogenic surrogate for Mycobacterium tuberculosis to study DNA gyrase and discover new inhibitors.

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

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

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

This study identifies FhaA as essential for mycobacterial asymmetric growth and cell envelope biogenesis by analyzing its interactome and morphological effects.

The paper investigates how the MoeA enzyme evolved multifunctionality through evolutionary and structural analyses, showing its repurposing in both bacteria and eukaryotes for diverse roles.