Lisandra L. Martin

This study investigates how surfactant charge and assembly dynamics regulate the antimicrobial-amyloidogenic transition of Uperin 3.5, showing charge-dependent structural stabilization and aggregation behavior.

This paper introduces amyAMP, a deep learning framework that generates antimicrobial peptides with amyloid-like properties, validated through molecular dynamics simulations.

This study designs AI-generated anti-CRISPR proteins that inhibit CRISPR-Cas13 with high potency and specificity.

This study shows that C-terminal amidation enhances antimicrobial peptide efficacy by stabilizing structures and promoting membrane interactions in U3.5.