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首页> 外文期刊>Journal of receptor and signal transduction research >Ligand-based virtual screening, molecular docking, QSAR and pharmacophore analysis of quercetin-associated potential novel analogs against epidermal growth factor receptor
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Ligand-based virtual screening, molecular docking, QSAR and pharmacophore analysis of quercetin-associated potential novel analogs against epidermal growth factor receptor

机译:基于LigAnd的虚拟筛选,分子对接,QSAR和药物团分析槲皮素相关的潜在新型对表皮生长因子受体的模拟

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摘要

The present study was to explore expectation and examination of therapeutic potential quercetin analogs as efficient anticancer agents against human epidermal growth factor receptor (EGFR), which is a consistent hallmark for moderating the non-small-cell lung carcinoma (NSCLC). Here, ligand-based virtual screening, pharmacophore approach and molecular docking were established as rational strategies for recognition of small analogs against the ligand binding domain of EGFR (PDB code: 1XKK). Adverse effects, toxicogenomics and pharmacokinetics reported that 10 candidates showed reliable consequences with less side effects and more efficient for target receptor. Protein-ligand interaction profiles revealed that the probable H-bonds, atomic-pi contacts, salt bridges and van der Waals interactions sustain the complexity and stability of receptor structure; thus, they could complicate to generate single alteration acquired for drug resistance. In silico anticancer properties explain the lead scaffolds which are assumed to be flexible and experimentally proved chemicals. The overall consequences indicated that recognized leads could be utilized as reference skeletons for new inhibitors envisaging toward EGFR to ameliorate NSCLC and other malignant disorders.
机译:本研究旨在探索槲皮素类似物作为有效抗癌剂对抗人类表皮生长因子受体(EGFR)的治疗潜力,EGFR是调节非小细胞肺癌(NSCLC)的一贯标志。在这里,基于配体的虚拟筛选、药效团方法和分子对接被确立为针对EGFR的配体结合域(PDB代码:1XKK)识别小类似物的合理策略。不良反应、毒理基因组学和药代动力学报告,10个候选药物显示出可靠的结果,副作用更少,对靶受体更有效。蛋白质-配体相互作用曲线显示,可能的氢键、原子π接触、盐桥和范德华相互作用维持了受体结构的复杂性和稳定性;因此,它们可能会复杂化,从而产生单一的耐药性改变。硅抗癌特性解释了铅支架,它被认为是柔性的,并且经过实验证明是化学物质。总体结果表明,已识别的铅可以作为新抑制剂的参考骨架,这些新抑制剂旨在改善非小细胞肺癌和其他恶性疾病。

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