Martin K. Amstalden

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

The paper investigates how human-targeted drugs alter regulatory networks in Salmonella Typhimurium, revealing non-antibiotic compounds reshape virulence and antibiotic resistance through specific transcriptional responses.

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

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