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基于结构的药效团模型的虚拟筛选鉴定 CARM1 的小分子抑制剂

Virtual Screening with a Structure-Based Pharmacophore Model to Identify Small-Molecule Inhibitors of CARM1.

机构信息

School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research , Xiamen University , Xiamen , Fujian 361102 , China.

Department of Chemical Biology, College of Chemistry and Chemical Engineering , Xiamen University , Xiamen , Fujian 361105 , China.

出版信息

J Chem Inf Model. 2019 Jan 28;59(1):522-534. doi: 10.1021/acs.jcim.8b00610. Epub 2019 Jan 16.

Abstract

CARM1 (coactivator-associated arginine methyltransferase 1), also known as PRMT4 (protein arginine N-methyltransferase 4), belongs to the protein arginine methyltransferase (PRMT) family, which has emerged as a potential anticancer drug target. To discover new CARM1 inhibitors, we performed virtual screening against the substrate-binding site in CARM1. Structure-based pharmacophore models, which were generated according to three druggable subpockets embedding critical residues for ligand binding, were applied for virtual screening. The importance of the solvent-exposed substrate-binding cavity was highlighted due to significant hydrophobicity. Aided by molecular docking, 15 compounds structurally distinct from known CARM1 inhibitors were selected to evaluate their inhibitory effects on CARM1 methyltransferase activity, which resulted in seven compounds exhibiting micromolar inhibition, with selectivity over other members in the PRMT protein family. Moreover, three of them exhibited potent antiproliferation activities in breast cancer cells. Particularly, compound NO.2 exhibited potent activity both in vitro and in cultured cells, which will serve as a leading hit for developing CARM1 inhibitors with improved efficacy. The virtual screening strategy in this study will be applicable for the discovery of substrate-competitive inhibitors targeting other members in the PRMT protein family.

摘要

CARM1(共激活因子相关精氨酸甲基转移酶 1),也称为 PRMT4(蛋白精氨酸 N-甲基转移酶 4),属于蛋白精氨酸甲基转移酶(PRMT)家族,该家族已成为一种有潜力的抗癌药物靶点。为了发现新的 CARM1 抑制剂,我们针对 CARM1 的底物结合位点进行了虚拟筛选。根据三个可成药的亚口袋生成的基于结构的药效团模型,这些亚口袋嵌入了与配体结合相关的关键残基,用于虚拟筛选。由于具有显著的疏水性,暴露在溶剂中的底物结合腔的重要性得到了强调。通过分子对接,选择了 15 种与已知的 CARM1 抑制剂结构不同的化合物,以评估它们对 CARM1 甲基转移酶活性的抑制作用,其中 7 种化合物对其他 PRMT 蛋白家族成员具有微摩尔抑制作用,具有选择性。此外,其中 3 种在乳腺癌细胞中表现出很强的增殖抑制活性。特别是化合物 NO.2 在体外和培养细胞中均表现出很强的活性,将作为开发具有改善疗效的 CARM1 抑制剂的先导化合物。本研究中的虚拟筛选策略将适用于发现针对 PRMT 蛋白家族其他成员的底物竞争性抑制剂。

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