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首页> 外文期刊>Journal of molecular modeling >Structure-based discovery of small molecule APC-Asef interaction inhibitors: In silico approaches and molecular dynamics simulations
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Structure-based discovery of small molecule APC-Asef interaction inhibitors: In silico approaches and molecular dynamics simulations

机译:基于结构的小分子APC-ASEF相互作用抑制剂的发现:在Silico方法和分子动力学模拟中

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Colorectal cancer, which is considered one of the leading causes of mortality worldwide, develops through the formation of benign polyps on the inner colon or rectum wall. Truncations in adenomatous polyposis coli (APC) gene lead to the spread of the disease in the entire colon region when combined with the guanine nucleotide exchange factor (GEF) Asef. A series of peptidomimetic agents were previously discovered as protein-protein interaction inhibitors that can target the APC-Asef interface. Structure-based virtual screening (SBVS), using a set of docking methods combined with molecular dynamics simulations, was carried out to identify new small drug-like agents. After the initial screening process, compounds with diverse chemical scaffolds and direct interaction with Arg549 and other active site residues were chosen and subjected to induce fit. The amide functional group found in the ligand hit structures showed strong interactions with Arg549, leading to observable conformational changes that allow suitable positioning within the peptide binding site. Furthermore, the pH-specific MD simulations of the top hit 838 within the APC-Asef binding site depicted significant interactions required for biochemical recognition in changing microenvironment. Predicted inhibitory constant (Ki) values and binding free energies of hits further described the significance of the amide group over the other chemical scaffolds. This combination of in silico approaches provides key insights for colorectal drug discovery programs targeting the APC-Asef interaction.
机译:结直肠癌,被认为是全世界死亡率的主要原因之一,通过形成内环或直肠墙上的良性息肉形成。当与鸟嘌呤核苷酸交换因子(GEF)ASEF结合时,腺瘤性息肉组织大肠杆菌(APC)基因的截断导致整个结肠区中疾病的扩散。先前发现了一系列肽瘤剂作为可以靶向APC-ASEF界面的蛋白质 - 蛋白质相互作用抑制剂。基于结构的虚拟筛选(SBV),使用一组与分子动力学模拟结合的对接方法,以识别新的小药物状剂。在初始筛选过程之后,选择具有不同化学支架的化合物和与ARG549的直接相互作用和其他活性位点残留物进行,并进行诱导率。在配体击中结构中发现的酰胺官能团显示与ARG549的强相互作用,导致可观察到的构象变化,其允许在肽结合位点内的合适定位。此外,APC-ASEF结合位点内的顶部受压838的pH特异性MD模拟描述了在改变微环境中生物化学识别所需的显着相互作用。预测抑制常数(Ki)值和令人厌恶的粘合能量进一步描述了酰胺基团对其他化学支架的重要性。这种在Silico方法中的这种组合提供了针对APC-ASEF互动的结肠直肠药物发现程序的关键见解。

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