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首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Identifying the novel inhibitors of lysine-specific demethylase 1 (LSD1) combining pharmacophore-based and structure-based virtual screening
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Identifying the novel inhibitors of lysine-specific demethylase 1 (LSD1) combining pharmacophore-based and structure-based virtual screening

机译:鉴定药仔基基和基于结构的虚拟筛选的赖氨酸特异性去甲基酶1(LSD1)的新抑制剂

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摘要

Lysine-specific demethylase 1 (LSD1) has been reported to connect with a range of solid tumors. Thus, the exploration of LSD1 inhibitors has emerged as an effective strategy for cancer treatment. In this study, we constructed a pharmacophore model based on a series of flavin adenine dinucleotide (FAD)-competing inhibitors bearing triazole - dithiocarbamate scaffold combining docking, structure-activity relationship (SAR) study, and molecular dynamic (MD) simulation. Meanwhile, another pharmacophore model was also constructed manually, relying on several speculated substrate-competing inhibitors and reported putative vital interactions with LSD1. On the basis of the two pharmacophore models, multi-step virtual screenings (VSs) were performed against substrate-binding pocket and FAD-binding pocket, respectively, combining pharmacophore-based and structure-based strategy to exploit novel LSD1 inhibitors. After bioassay evaluation, four compounds among 21 hits with diverse and novel scaffolds exhibited inhibition activity at the range of 3.63-101.43 mu M. Furthermore, substructure-based enrichment was performed, and four compounds with a more potent activity were identified. After that, the time-dependent assay proved that the most potent compound with IC50 2.21 mu M inhibits LSD1 activity in a manner of time-independent. In addition, the compound exhibited a cellular inhibitory effect against LSD1 in MGC-803 cells and may inhibit cell migration and invasion by reversing EMT in cultured gastric cancer cells. Considering the binding mode and SAR of the series of compounds, we could roughly deem that these compounds containing 3-methylxanthine scaffold act through occupying substrate-binding pocket competitively. This study presented a new starting point to develop novel LSD1 inhibitors.
机译:据报道,赖氨酸特异性去甲基酶1(LSD1)与一系列固体瘤连接。因此,LSD1抑制剂的探索已成为癌症治疗的有效策略。在这项研究中,我们构建了一种基于一系列黄素腺嘌呤二核苷酸(FAD)的药物光学模型 - 耐受三唑 - 二硫代氨基甲酸酯支架组合对接,结构 - 活性关系(SAR)研究和分子动态(MD)模拟。同时,还手动构建另一种药效线模型,依赖于几种推测的底物竞争抑制剂,并报道了与LSD1的推定生命相互作用。在两种药效线模型的基础上,分别对基底粘合口袋和FAD结合口袋进行多步虚拟筛选(VSS),将基于药物的和基于结构的策略结合起来利用新型LSD1抑制剂。生物测定评价后,具有多种和新的支架的21个次数中的四种化合物在3.63-101.43μm的范围内表现出抑制活性。此外,进行亚结构的富集,并鉴定出具有更有效活性的四种化合物。之后,时间依赖性测定证明,具有IC502.21μm的最有效的化合物以时间无关的方式抑制LSD1活性。此外,该化合物对MGC-803细胞中的LSD1表现出对LSD1的细胞抑制作用,并且可以通过在培养的胃癌细胞中逆转EMT来抑制细胞迁移和侵袭。考虑到一系列化合物的结合模式和SAR,我们可以粗略地认为这些化合物含有3-甲基琥珀支架的作用,通过竞争力地占据基材结合口袋。本研究提出了开发新型LSD1抑制剂的新起点。

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  • 作者单位

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

    Zhengzhou Univ Collaborat Innovat Ctr New Drug Res &

    Safety Eval Key Lab Henan Prov Drug Qual &

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子生物学;
  • 关键词

    LSD1 inhibitors; virtual screening; pharmacophore modeling; docking; drug discovery;

    机译:LSD1抑制剂;虚拟筛选;药物模型;对接;药物发现;

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