Authors
Shasha Shen, Juan Li, Xue Cui, Xiaotong Shen, Junhui Cai, Xiaoxia Gou
Published in
Mini reviews in medicinal chemistry. Jul 06, 2026. Epub Jul 06, 2026.
Abstract
The TGF-β signaling pathway plays a dual role in cancer, acting as both a tumor suppressor and a potent driver of metastasis and immune evasion. Traditional TGF-β inhibitors, primarily ATP-competitive kinase blockers, have faced clinical hurdles including systemic toxicities and compensatory resistance. This review provides a medicinal chemistry-oriented perspective on the fundamental transition from occupancy-based inhibition to event-driven targeted protein degradation (TPD). We systematically analyze the chemical evolution of TGF-β modulators, highlighting how rational SAR optimization-such as linker rigidification and the selection of tissue-specific E3 ligases-enhances ternary complex stability and catalytic efficiency (DC50). Furthermore, we discuss the transformative role of artificial intelligence (AI) and molecular docking in guiding the design of next-generation bifunctional degraders, including PROTACs and LYTACs. By synthesizing cuttingedge research and clinical data, this article outlines a roadmap for dismantling the TGF-β axis, offering strategic insights for the development of more potent, selective, and safer therapeutic agents.
PMID:
42411223
Bibliographic data and abstract were imported from PubMed on 07 Jul 2026.
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