Aug 2026· International journal of pharmaceutics· pp.
127323
· 0 citations· 193 references
Medicine
TL;DR
This review provides a roadmap for translating TPD into transformative therapies and outlines key challenges including novel E3 ligase ligand discovery, tissue selectivity, and acquired resistance, and discusses how covalent fragment screening, artificial intelligence, and expanded E3 ligase repertoires will advance next-generation degraders to fulfill the promise of event-driven pharmacology.
Abstract
Targeted protein degradation (TPD) has transitioned from a paradigm-shifting concept to a clinically validated strategy, with multiple degraders achieving proof-of-concept in oncology and a rapidly expanding toolbox. By co-opting the ubiquitin-proteasome system to eliminate pathogenic proteins in an event-driven manner, TPD addresses targets long deemed undruggable. To capture this momentum, we present a comprehensive overview of the field. We dissect the mechanisms of heterobifunctional PROTACs and their clinical translation, covering late-stage programs targeting canonical oncogenic drivers (AR, ER, BTK) and emerging first-in-human studies against historically challenging targets such as STAT3 to illustrate both clinical validation and mechanistic expansion. Beyond classical PROTACs, we systematically summarize the expanding TPD toolbox: lysosome-targeting chimeras for degrading extracellular and membrane proteins, autophagy-based degraders for clearing aggregates and damaged organelles, antibody- and nucleic acid-derived PROTAC formats for tissue-specific delivery and transcription factor targeting, deubiquitinase-targeting chimeras for protein stabilization, and proximity-based post-translational modification editing, collectively demonstrating the broad reach of proximity-inducing pharmacology. By integrating molecular mechanisms with therapeutic applications, this review illustrates how TPD is reshaping the druggable proteome. We outline key challenges including novel E3 ligase ligand discovery, tissue selectivity, and acquired resistance, and discuss how covalent fragment screening, artificial intelligence, and expanded E3 ligase repertoires will advance next-generation degraders to fulfill the promise of event-driven pharmacology. This review provides a roadmap for translating TPD into transformative therapies.
This thorough analysis investigates the molecular basis of PROTAC technology, tracking its progression from an elegant intellectual notion to a clinically approved treatment platform and provides a detailed survey of the current clinical landscape.
N. Reddy, M. Sarika, V. Deepika et al.· International Journal of Adv...· 0 citations
The molecular mechanisms, recent advances, and emerging applications of bioPROTAC technology are summarized, the current technical challenges are evaluated, potential strategies to address these limitations are discussed, and future directions that may facilitate its clinical translation are highlighted.
This review summarizes recent advances in chemical protein degradation strategies for neurodegenerative disorders and highlights potential future perspectives of multifunctional PROTACs for therapeutic development.
Pasquale Degennaro, Imane Ghafir El Idrissi, Rosa Purgatorio et al.· Pharmaceuticals· 0 citations
This critical review is an outline of all lipid, polymeric, inorganic, biomimetic, targeted, activatable, and self-assembling delivery systems for TPD, and assess compositional considerations, in vitro and in vivo evidence, challenges for translation, and clinical endpoints required to support delivery-enabled degradat...
This Account systematically summarizes recent advances regarding the rational design of stimuli-activatable protein degraders, and strategically outline the "when and how" of integrating these degraders with nanomedicine platforms to tailor precise cancer therapy.
Jing Gao, Yi Lai, Bo Hou et al.· Accounts of Chemical Researc...· 0 citations
This review systematically explores AI applications in TPD development, covering the prediction and design of stable ternary complexes, rational optimization of linkers, high‐throughput screening for E3 ligase ligands, and accurate predictions of degradation efficiency and ADMET properties.