A comprehensive review of emerging approaches in machine learning for <i>de novo</i> PROTAC design
Yossra Gharbi, Rocío Mercado
Abstract
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.
Topics & Concepts
Computer scienceArtificial intelligenceMachine learningAdvancements in Semiconductor Devices and Circuit DesignIntegrated Circuits and Semiconductor Failure AnalysisProtein Degradation and Inhibitors