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 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.