We combine machine learning with calibrating X-ray measurements of induced negative Gaussian curvature by helical antimicrobial peptides to develop a screening tool that can broadly discover hidden membrane-remodeling activity in diverse families of peptides and proteins with various primary functions.
Blebbing, budding, scission, and pore formation are manifestations of negative Gaussian curvature.