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基于对接的虚拟筛选中的蛋白质柔性:使用多个晶体结构发现新型淋巴特异性酪氨酸磷酸酶抑制剂。

Protein Flexibility in Docking-Based Virtual Screening: Discovery of Novel Lymphoid-Specific Tyrosine Phosphatase Inhibitors Using Multiple Crystal Structures.

机构信息

Department of Medicinal Chemistry, Key Laboratory of Chemical Biology of Natural Products (MOE), School of Pharmacy, ‡Department of Physiology, School of Medicine, and §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.

出版信息

J Chem Inf Model. 2015 Sep 28;55(9):1973-83. doi: 10.1021/acs.jcim.5b00344. Epub 2015 Sep 17.

Abstract

Incorporating protein flexibility is a major challenge for docking-based virtual screening. With an increasing number of available crystal structures, ensemble docking with multiple protein structures is an efficient approach to deal with protein flexibility. Herein, we report the successful application of a docking-based virtual screen using multiple crystal structures to discover novel inhibitors of lymphoid-specific tyrosine phosphatase (LYP), a potential drug target for autoimmune diseases. The appropriate use of multiple protein structures allowed a better enrichment than a single structure in the recovery of known inhibitors. Subsequently, an optimal ensemble of LYP structures was selected and used in docking-based virtual screening. Eight novel LYP inhibitors (IC50 ranging from 7.95 to 56.6 μM) were identified among 23 hit compounds. Further studies demonstrated that the most active compound B15 possessed some selectivity over other protein phosphatases and could effectively up-regulate TCR (T cell receptor)-mediated signaling in Jurkat T cells. These novel hits not only provided good starting points for the development of therapeutic agents useful in autoimmune diseases but also demonstrated the advantages of choosing an appropriate ensemble of protein structures in docking-based virtual screening over using a single protein conformation.

摘要

将蛋白质柔性纳入对接虚拟筛选是一个主要挑战。随着越来越多的晶体结构可用,使用多个蛋白质结构的整体对接是处理蛋白质柔性的有效方法。在此,我们报告了使用多个晶体结构进行基于对接的虚拟筛选以发现淋巴特异性酪氨酸磷酸酶(LYP)的新型抑制剂的成功应用,LYP 是自身免疫性疾病的潜在药物靶点。适当使用多个蛋白质结构可在恢复已知抑制剂方面比使用单个结构更好地富集。随后,选择了最佳的 LYP 结构组合并用于基于对接的虚拟筛选。在 23 个命中化合物中,鉴定出了 8 种新型 LYP 抑制剂(IC50 范围为 7.95 至 56.6 μM)。进一步的研究表明,最活性化合物 B15 对其他蛋白磷酸酶具有一定的选择性,并且可以有效地上调 Jurkat T 细胞中的 TCR(T 细胞受体)介导的信号。这些新型发现不仅为开发自身免疫性疾病中有用的治疗剂提供了良好的起点,而且还证明了在基于对接的虚拟筛选中选择适当的蛋白质结构组合而不是使用单个蛋白质构象的优势。

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