Medina Bajramovic

This study shows that human-targeted drugs can both enhance antibiotic resistance and inhibit Campylobacter jejuni growth through efflux pump activation and direct toxicity.

This paper introduces a deep learning framework for antimicrobial discovery that identifies new compounds with antimicrobial potential using pre-trained molecular representations.

biscot uses optimal transport to integrate and analyze multimodal bacterial single-cell data, showing improved speed and accuracy in disentangling communities and aligning gene expression with cytometry data.

DGrowthR provides a statistical framework for analyzing large-scale microbial growth data, enabling differential growth analysis and discovery of compounds affecting bacterial growth.