PO.ET02.11 · 实验与分子治疗

借助结构蛋白质组学和AI发现KAT6A降解剂

Discovery of KAT6A degrader enabled by structural proteomics and AI

海报缩略图:借助结构蛋白质组学和AI发现KAT6A降解剂
编号 456 展板 26 时间 4/19 02:00–05:00 区域 Section 18 主讲 Eran Seger, M Eng
分会场 Novel Therapeutics and Drug Targets 1
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作者与单位 Authors & Affiliations

Yonatan Kedem1, Nitzan Simchi1, Anjana Shenoy1, Andrew Morley2, Alon Shtrikman1, Michal Ran Shchory1, Yaron Ben Shoshan-Galeczki1, Dimitri Kovalerchik1, Iris Alchanati1, Galina Otonin1, Noam Cohen1, Gali Arad1, Eran Seger1, Kirill Pevzner1

1Protai, Ramat Gan, Israel,2O2H Discovery, Cambridge, United Kingdom

摘要 Abstract

中文摘要
赖氨酸乙酰转移酶6(KAT6A/B)是组蛋白乙酰转移酶(HAT)的MYST家族成员,在不同癌症类型中活性升高。由于其在激素信号激活中的驱动作用,KAT6是一个有前景的药物靶点,特别是在雌激素受体阳性(ER+)乳腺癌中。事实上,研究KAT6抑制在ER+乳腺癌中作用的临床试验已证明了其疗效。蛋白水解靶向嵌合体(PROTAC)是异双功能分子,可诱导靶蛋白与E3连接酶(如CRBN)之间的邻近,导致靶标泛素化和随后的降解。KAT6 PROTAC可同时靶向其酶功能和支架功能,可能带来更好的疗效。此外,对KAT6A的选择性可提高药物耐受性并减少不良事件。在当前工作中,我们展示了一种新型KAT6A选择性PROTAC,使用AIMS™蛋白质组学和AI平台开发。利用结构质谱(MS)数据和AI建模,我们生成了KAT6-E3-PROTAC三元复合物的可信结构,并鉴定了PROTAC依赖性构象,从而能够对复合物进行准确建模以供进一步优化。所得的PAI-PROTAC在ER+乳腺癌细胞系中展示了高效的KAT6A降解和生长抑制,对KAT6B和其他KAT酶具有高选择性,并且对CRBN新底物无降解活性。总之,这些结果说明了蛋白质组学感知的AI如何实现合理的PROTAC设计,从而发现一种强效且选择性的KAT6A降解剂。
查看英文原文 English abstract
Lysine acetyltransferase 6 (KAT6A/B) is a MYST family member of histone acetyl transferases (HATs), with elevated activity across different cancer types. Due to its driving role in activation of hormonal signaling, KAT6 is a promising drug target specifically in estrogen receptor positive (ER+) breast cancer. Indeed, efficacy has been demonstrated in clinical trials investigating KAT6 inhibition in ER+ breast cancer. Proteolysis-targeted chimeras (PROTACs) are heterobifunctional molecules inducing the proximity between a target protein and an E3 ligase (e.g. CRBN), leading to target ubiquitination and subsequent degradation. KAT6 PROTAC can target both its enzymatic and scaffold functionalities, potentially leading to improved efficacy. In addition, selectivity towards KAT6A could increase drug tolerability and reduce adverse events.In the current work, we present a novel KAT6A-selective PROTAC, developed using the AIMS™ proteomics and AI platform. Using structural mass spectrometry (MS) data and AI modeling, we generated confident structures of the KAT6-E3-PROTAC ternary complex and identified PROTAC-dependent conformations, enabling accurate modeling of the complex for further optimization. The resulting PAI-PROTAC demonstrates efficient KAT6A degradation and growth inhibition in ER+ breast cancer cell lines, with high selectivity over KAT6B and over other KAT enzymes, as well as no degradation activity in CRBN neosubstrates. Altogether, these results illustrate how proteomics-aware-AI enables rational PROTAC design, leading to discovery of a potent and selective KAT6A degrader.
利益披露 Disclosure
Y. Kedem, None.. N. Simchi, None.. A. Shenoy, None.. A. Morley, None.. A. Shtrikman, None.. M. Ran Shchory, None.. Y. Ben Shoshan-Galeczki, None.. D. Kovalerchik, None.. I. Alchanati, None.. G. Otonin, None.. N. Cohen, None.. G. Arad, None.. E. Seger, None.. K. Pevzner, None.

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