Sidney Lyayuga Lisanza

This paper introduces a machine learning framework for therapeutic antibody design that integrates computational methods with experimental validation, resulting in significantly improved binding affinity for multiple targets.

ProteinGenerator uses a diffusion model based on RoseTTAFold to generate protein sequences and structures simultaneously, validated for functional properties and structural accuracy.