化学
工具箱
虚拟筛选
平方毫米
计算生物学
组合化学
生物化学
程序设计语言
药物发现
计算机科学
生物
基因
作者
Huijuan Liu,Hong Zhang,S. Ding,Yue Xue,Xiangjun Du,Zhaoxue Han,Qianqian Li,Yi Qin Gao,Qin Peng
标识
DOI:10.1021/acs.analchem.5c01354
摘要
High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital information for therapeutic intervention in diseases driven by aberrant PPIs. Traditionally, the discovery of PPI inhibitors involves sequential steps: in vitro screening with purified proteins and then cellular assessment of cell permeability and PPI disruption, which prolong the screening timeline and escalate costs. Here, we have advanced our NanaPPI technique to create a versatile toolkit compatible with at least 95% of commercial murine antibodies, facilitating the in situ quantification of cellular PPIs. By integrating AI-driven virtual screening with the NanaPPI toolbox, we successfully constructed the NaviScreen platform and rapidly identified a potent p53-MDM2 inhibitor, AB-460, from a library of 3 million compounds. AB-460 effectively inhibits the p53-MDM2 interaction, suppresses the proliferation of tumor cells, and reduces tumor volume in zebrafish by increasing p53 and p21 protein levels. This NaviScreen platform combines the high throughput of virtual screening with the in situ PPI quantification capabilities of NanaPPI, offering an efficient strategy for the discovery of cell-permeable and stable PPI inhibitors.
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