Hou Xuben, Sun Jin-Peng, Ge Lin, Liang Xiao, Li Kangshuai, Zhang Yingkai, Fang Hao
Department of Medicinal Chemistry and Key Laboratory of Chemical Biology of Natural Products (MOE), School of Pharmaceutical Science, Shandong University, Jinan, Shandong, 250012, China; Department of Chemistry, New York University, New York, NY, 10003, United States.
Key Laboratory Experimental Teratology of the Ministry of Education and Department of Biochemistry and Molecular Biology, School of Medicine, Shandong University, Jinan, Shandong, 250012, China.
Eur J Med Chem. 2020 Mar 15;190:112131. doi: 10.1016/j.ejmech.2020.112131. Epub 2020 Feb 11.
Cryptic pockets, which are not apparent in crystallographic structures, provide promising alternatives to traditional binding sites for drug development. However, identifying cryptic pockets is extremely challenging and the therapeutic potential of cryptic pockets remains unclear. Here, we reported the discovery of novel inhibitors for striatal-enriched protein tyrosine phosphatase (STEP), a potential drug target for multiple neuropsychiatric disorders, based on cryptic pocket detection. By combining the use of molecular dynamics simulations and fragment-centric topographical mapping, we identified transiently open cryptic pockets and identified 12 new STEP inhibition scaffolds through structure-based virtual screening. Site-directed mutagenesis verified the binding of ST3 with the predicted cryptic pockets. Moreover, the most potent and selective inhibitors could modulate the phosphorylation of both ERK1/2 and Pyk2 in PC12 cells.
在晶体结构中不明显的隐蔽口袋为药物开发提供了有前景的传统结合位点替代方案。然而,识别隐蔽口袋极具挑战性,其治疗潜力仍不明确。在此,我们报告基于隐蔽口袋检测发现了针对富含纹状体蛋白酪氨酸磷酸酶(STEP)的新型抑制剂,STEP是多种神经精神疾病的潜在药物靶点。通过结合分子动力学模拟和以片段为中心的拓扑映射,我们识别出瞬时开放的隐蔽口袋,并通过基于结构的虚拟筛选确定了12种新的STEP抑制支架。定点诱变验证了ST3与预测的隐蔽口袋的结合。此外,最有效和选择性最强的抑制剂可调节PC12细胞中ERK1/2和Pyk2的磷酸化。