machine-learning

Introduction Antibody affinity maturation—the process of improving the binding strength between an antibody and its target antigen—is a critical step in therapeutic antibody development. Natural affinity maturation occurs in vivo during B cell development, where somatic hypermutation generates antibody variants with improved binding.

Introduction Proteins rarely act in isolation; instead, they participate in complex networks of physical and functional interactions that orchestrate cellular processes. Understanding these protein-protein interactions (PPIs) is fundamental to elucidating cellular pathways, identifying drug targets, and developing therapeutic interventions.

Introduction The development of therapeutic antibodies has transformed modern medicine, with over 100 monoclonal antibodies now approved for clinical use and hundreds more in development. Traditional antibody discovery pipelines have relied heavily on experimental approaches—hybridoma screening, phage display, and more recently, single B-cell sorting followed by VDJ sequencing.

Introduction The intersection of artificial intelligence and molecular biology has witnessed a transformative breakthrough with the emergence of protein language models (PLMs). These sophisticated deep learning architectures have fundamentally altered our approach to understanding protein sequence-structure-function relationships, offering unprecedented capabilities in protein property prediction, design, and engineering.