PO.ET09.03 · 实验与分子治疗
利用高通量泛素化检测评估靶向蛋白降解剂以进行机制与构效关系分析
Evaluation of targeted protein degraders using high-throughput ubiquitination assays for mechanistic and SAR analysis
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
靶向蛋白降解剂(TPD)代表了从传统的占据驱动型抑制向事件驱动型药理学的范式转变,其通过利用泛素-蛋白酶体系统实现对蛋白的选择性清除。尽管具有治疗潜力,但有效降解剂——尤其是分子胶——的合理设计仍是一项重大挑战,这是由于结合协同性、泛素化效率和降解动力学之间存在复杂的相互作用。为了更好地理解这些机制,我们建立了一套临床前检测方法,用于系统评估TPD在关键机制步骤中的活性,包括三元复合物形成、泛素化诱导、细胞摄取,以及在细胞和体内模型中的靶蛋白降解。在降解剂文库的早期筛选过程中,药物化学家需要高效的方法来评估构效关系(SAR)。对比研究表明,与三元复合物形成检测相比,泛素化检测能更好地预测细胞降解效率。虽然三元复合物检测可表征靶点、降解剂和E3连接酶之间的结合亲和力、协同性和复合物稳定性,但它们无法捕捉到进行有效泛素化所必需的构象变化。我们的数据表明,泛素化检测能以高通量和可扩展性提供更深入的机制见解,从而能够快速生成用于数据驱动的SAR开发的可靠数据集。该方法有效弥合了结构优化与功能结果之间的差距,加速了具有更佳效力和选择性、用于治疗应用的新一代降解剂的合理设计。
查看英文原文 English abstract
Targeted Protein Degraders (TPDs) represent a paradigm shift from traditional occupancy-driven inhibition to event-driven pharmacology by harnessing the ubiquitin-proteasome system for selective protein elimination. Despite their therapeutic potential, the rational design of effective degraders, particularly Molecular Glues, remains a significant challenge due to the complex interplay between binding cooperativity, ubiquitination efficiency, and degradation kinetics. To better understand these mechanisms, we established a suite of preclinical assays to systematically evaluate TPD activity across key mechanistic steps, including ternary complex formation, ubiquitination induction, cellular uptake, and target protein degradation in cellular and in vivo models. During the early screening of degrader libraries, medicinal chemists require efficient methods to assess structure-activity relationships (SARs). Comparative studies revealed that the ubiquitination assay provides a more predictive measure of cellular degradation efficiency than ternary complex formation assays. While ternary complex assays characterize binding affinity, cooperativity, and complex stability among the target, degrader, and E3 ligase, they fail to capture conformational changes necessary for productive ubiquitination. Our data demonstrate that ubiquitination assays offer deeper mechanistic insights with high throughput and scalability, enabling rapid generation of robust datasets for data-driven SAR development. This approach effectively bridges the gap between structural optimization and functional outcomes, accelerating the rational design of next-generation degraders with improved potency and selectivity for therapeutic applications.
利益披露 Disclosure
Y. Xu, None..
J. Zhang, None..
Y. Hu, None..
Y. Tian, None..
M. Lyu, None..
Y. Yin, None.