PO.CH01.01 · 化学

拓展靶向蛋白降解的版图:E3连接酶无关的发现与专有配体鉴定

Expanding the landscape of targeted protein degradation: E3-agnostic discovery and proprietary ligand identification

海报缩略图:拓展靶向蛋白降解的版图:E3连接酶无关的发现与专有配体鉴定
编号 5168 展板 18 时间 4/21 09:00–12:00 区域 Section 39 主讲 Kanae Gamo, PhD
分会场 Targeted Protein Degradation and Induced Proximity
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作者与单位 Authors & Affiliations

Kanae Gamo, Shinya Yokosaka, Michiko Watanabe, Tomoaki Hayashi, Shigeyuki Mori, Naomi Asahara, Noriyasu Sano, Shigeru Furukubo, Kazuteru Aoki

FIMECS, Inc., Fujisawa, Japan

摘要 Abstract

中文摘要
靶向蛋白降解(TPD)是一种有前景的治疗模式,但其更广泛的应用受制于缺乏为特定靶点选择最佳E3连接酶的成熟策略。尽管存在许多E3连接酶,但目前正在进行临床试验的降解剂中只利用了少数几种,使得大部分连接酶空间尚未被探索。为应对这一挑战,一个专有的TPD发现平台通过一个整合了基于片段的多样性导向合成(DOS)与相关细胞模型中表型筛选的工作流程,能够以高通量方式进行理性的E3连接酶选择。该工作流程在内部高通量化合物合成能力的支持下,生成多样化的化学骨架,并鉴定具有理想活性特征的降解剂候选物。表型筛选确保功能相关性,并促进发现能够结合先前未在TPD中应用的E3连接酶的化合物,从而扩展连接酶靶向降解策略的范围。先导化合物通过优化和E3连接酶解卷积得到精炼,以确认连接酶结合并改善效力、选择性和成药性等分子特性。一旦通过此过程鉴定出新型E3连接酶结合剂,便会开启新的应用机会。一条路径是将该结合剂纳入我们内部的E3连接酶工具箱,并将其作为双功能降解剂设计的一部分应用于其他靶点。另一条路径是评估该结合剂是否能作为分子胶发挥作用,通过招募新底物实现降解。重要的是,我们的表型筛选方法已促成鉴定出在骨髓和造血组织中低表达的专有E3连接酶。基于这些E3连接酶结合剂的降解剂显示出避免骨髓毒性(癌症靶点的一个主要担忧)的潜力,同时保持稳健的活性。该策略不仅使得能够开发具有改善药代动力学和广泛靶点适用性的口服生物可利用分子,还提供了通往更安全TPD治疗药物的路径。通过扩展可用的E3连接酶工具箱,该专有平台释放了新的降解剂模式,并支持开发具有改善的理化性质(包括口服生物可利用候选物)的治疗药物。本报告将重点介绍案例研究,展示该平台如何为推进新型基于E3连接酶的TPD做出贡献,为该领域的一个关键瓶颈提供一个可扩展、多功能且富有前瞻性的解决方案。
查看英文原文 English abstract
Targeted protein degradation (TPD) is a promising therapeutic modality, but its broader application is constrained by the lack of established strategies to select optimal E3 ligases for specific targets. Although many E3 ligases exist, only a few have been leveraged in degraders currently undergoing clinical trials, leaving much of the ligase space unexplored. To address this challenge, a proprietary TPD discovery platform enables rational E3 ligase selection in a high-throughput manner through a workflow that integrates fragment-based diversity-oriented synthesis (DOS) with phenotypic screening in relevant cell models. This workflow, supported by in-house capabilities for high-throughput compound synthesis, generates diverse chemical scaffolds and identifies degrader candidates with desired activity profiles. Phenotypic screening ensures functional relevance and facilitates the discovery of compounds that engage E3 ligases not previously applied in TPD, thereby expanding the scope of ligase-targeted degradation strategies. Lead compounds are refined through optimization and E3 ligase deconvolution to confirm ligase engagement and improve molecular properties such as potency, selectivity, and drug-likeness. Once novel E3 ligase binders are identified through this process, they open up new application opportunities. One path is to incorporate the binder into our internal E3 ligase toolbox and apply it to other targets as part of bifunctional degrader design. Another is to evaluate whether the binder can function as a molecular glue, enabling degradation through neo-substrate recruitment. Importantly, our phenotypic screening approach has led to the identification of proprietary E3 ligases with low expression in bone marrow and hematopoietic tissues. Degraders based on these E3 ligase binders demonstrate the potential to avoid bone marrow toxicity-a major concern for cancer targets-while maintaining robust activity. This strategy not only enables the development of orally bioavailable molecules with improved pharmacokinetics and broad target applicability, but also provides a path to safer TPD therapeutics. By expanding the usable E3 ligase toolbox, this proprietary platform unlocks new degrader modalities and supports the development of therapeutics with improved physicochemical properties, including orally bioavailable candidates. This presentation will highlight case studies demonstrating how this platform contributes to the advancement of novel E3 ligase-based TPD, offering a scalable, versatile, and forward-looking solution to a key bottleneck in the field.
利益披露 Disclosure
K. Gamo, None.. S. Yokosaka, None.. M. Watanabe, None.. T. Hayashi, None.. S. Mori, None.. N. Asahara, None.. N. Sano, None.. S. Furukubo, None.. K. Aoki, None.

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