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高通量对接和分子动力学模拟鉴定新型 CDC7 肽模拟抑制剂

High-throughput Docking and Molecular Dynamics Simulations towards the Identification of Novel Peptidomimetic Inhibitors against CDC7.

机构信息

Chemistry Department, Faculty of Sciences, K.N. Toosi University of Technology, Tehran, 1969764499, Iran.

Chemistry Department, Faculty of Sciences, University of Tehran, Tehran, 1417466191, Iran.

出版信息

Mol Inform. 2018 Nov;37(11):e1800022. doi: 10.1002/minf.201800022. Epub 2018 Jul 9.

DOI:10.1002/minf.201800022
PMID:29984527
Abstract

Inhibition protein-protein interactions (PPIs) using small molecules, that interfere with the formation of these complexes, modulates critical regulatory pathways and has therapeutic significance. DBF4-dependent kinase CDC7 is the S-phase checkpoint pathway target, which plays an important role for a proper response to DNA damage and replicative stress in multiple organisms. Overexpression of CDC7 and its protein regulator DBF4 is highly neurotoxic and promotes cancer and neurodegeneration. In the present study, virtual screening of inhibitor scaffolds mimicking DBF4 pharmacophoric properties was carried out and evaluation of their potential inhibitory activity toward CDC7 was performed using high-throughput docking and molecular dynamics simulations. The calculations identified five small molecules exhibiting a high affinity to the active site region of the CDC7 protein.

摘要

使用小分子抑制蛋白-蛋白相互作用(PPIs),干扰这些复合物的形成,可调节关键的调控途径,并具有治疗意义。依赖于 DBF4 的激酶 CDC7 是 S 期检查点途径的靶标,它在多种生物体中对 DNA 损伤和复制应激的适当反应起着重要作用。CDC7 的过表达及其蛋白调节剂 DBF4 具有高度神经毒性,并促进癌症和神经退行性变。在本研究中,模拟 DBF4 药效团特性的抑制剂支架进行了虚拟筛选,并使用高通量对接和分子动力学模拟评估了它们对 CDC7 的潜在抑制活性。计算结果确定了五个对 CDC7 蛋白活性位点区域具有高亲和力的小分子。

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