Sébastien Perrier

This paper develops mannose-functionalized nanoparticles loaded with rifampicin to target macrophage-associated mycobacteria, showing improved efficacy and reduced toxicity in preclinical models.

This study uses machine learning to predict the potency and toxicity of synthetic antimicrobial polymers by analyzing structure-activity relationships.

This study shows that the T7SS effector EsxC in S. aureus affects daptomycin sensitivity by modulating cell membrane integrity.

This study classifies cell and brain penetrating peptides using machine learning, identifying key physicochemical features that distinguish brain-penetrating peptides from cell-penetrating peptides and non-BPP controls.

This study investigates the immunomodulatory effects of cationic antimicrobial copolymers on LPS-stimulated macrophages, finding anti-inflammatory and antimicrobial properties in specific copolymers.