Alexandra Aubry

This study evaluates how sex, age, and mouse strain affect M. abscessus infection progression using a beads model, finding BALB/cJRJ mice show more sustained infection with less variability.

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

This study determines the minimal effective oral dose of telacebec against M. leprae in a mouse model, finding 20 mg/kg achieves complete bacterial clearance.

This paper develops a murine model of Mycobacterium abscessus infection using alginate-encapsulated bacteria, showing slower clearance and increased dissemination, and evaluates antibiotic efficacy against encapsulated versus free bacteria.

MSclassifR is an R package that improves mass spectra classification using machine learning, achieving high accuracy on real datasets and outperforming commercial software.

This study investigates two mutations in M. tuberculosis B0/W148 clone, finding they do not impair growth or virulence but alter transcriptional profiles.