A comprehensive review of emerging approaches in machine learning for de novo PROTAC design

Machine learning (ML) accelerates PROTAC design by optimizing linkers and protein–ligase interactions, enabling selective protein degradation for therapeutic applications, particularly targeting previously undruggable proteins.