Zhao Hanqing, Li Xue, Yao Xueyu, Zhang Shijie, Bao Yandan, Lu Weiwei, Xing Minyan, Wang Xudong, Wang Xuan, Zhao Yujun, Chu Qian, Lu Xiaojie
State Key Laboratory of Drug Research Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Zhang Jiang Hi-Tech Park, Pudong, Shanghai 201203, China.
University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China.
JACS Au. 2025 Jun 27;5(7):3399-3407. doi: 10.1021/jacsau.5c00473. eCollection 2025 Jul 28.
Discovery of cyclic peptide hits using DNA-encoded libraries (DELs) has recently been extensively researched, with significant efforts directed toward developing DEL-compatible macrocyclization methods. To investigate how different cyclic linkers influence DEL selection outcomes, we constructed eight distinct sublibraries and screened them against two protein targets, MDM2 and GIT1, resulting in two representative yet contrasting scenarios. Validation studies for MDM2 revealed that structural similarity patterns observed across multiple sublibraries could enhance confidence in the authenticity of identified hits. Notably, demonstrated potent inhibitory activity, exhibiting an inhibition constant of 11 nM. In contrast, selections against GIT1 produced discrete enrichment patterns. From these outcomes, two exemplary compounds were selected and validated through both the on-DNA and off-DNA modes. was confirmed to bind specifically to the desired binding pocket, displaying a dissociation constant of 1.22 μM. Furthermore, ITC experiments using mutant GIT1 proteins (GIT1 and GIT1) provided additional insights into the mechanism by which disrupts the interaction between GIT1 and β-PIX.
利用DNA编码文库(DELs)发现环肽命中物最近受到了广泛研究,大量工作致力于开发与DEL兼容的大环化方法。为了研究不同的环连接子如何影响DEL筛选结果,我们构建了八个不同的子文库,并针对两个蛋白质靶点MDM2和GIT1进行筛选,产生了两个具有代表性但形成对比的情况。对MDM2的验证研究表明,在多个子文库中观察到的结构相似性模式可以增强对已鉴定命中物真实性的信心。值得注意的是,表现出强大的抑制活性,抑制常数为11 nM。相比之下,针对GIT1的筛选产生了离散的富集模式。从这些结果中,选择了两种示例性化合物,并通过DNA上和DNA外模式进行了验证。被证实特异性结合到所需的结合口袋,解离常数为1.22 μM。此外,使用突变型GIT1蛋白(GIT1和GIT1)的ITC实验提供了关于破坏GIT1与β-PIX之间相互作用机制的更多见解。