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首页> 外文期刊>Journal of receptor and signal transduction research >Computational screening, ensemble docking and pharmacophore analysis of potential gefitinib analogues against epidermal growth factor receptor
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Computational screening, ensemble docking and pharmacophore analysis of potential gefitinib analogues against epidermal growth factor receptor

机译:对表皮生长因子受体潜在吉非替尼类似物的计算筛选,集合对接和药物分析

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The observable mutated isoforms of epidermal growth factor receptor (EGFR) are important considerable therapeutic benchmarks in moderating the non-small cell lung cancer (NSCLC). Recently, quinazoline-based ATP competitive inhibitors have been developed against the EGFR; however, these imply the mutation probabilities, which contribute to the discovery of high probable novel inhibitors for EGFR mutants. Therefore, SAR-based bioactivity analysis, molecular docking and computational toxicogenomics approaches were performed to identify and evaluate new analogs of gefitinib against the ligand-binding domain of the EGFR double-mutated model. From the diverse groups of molecular clustering and molecular screening strategies, top high-binding gefitinib-analogues were identified and studied against EGFR core cavity through three-phase ensemble docking approach. Resulted high possible leads showed good binding orientations than gefitinib (positive control) thus they were subjected to pharmacophore analysis that possesses possible molecular assets to tight binding with EGFR domain. Residues Ser720, Arg841 and Trp880 were observed as novel hot spots and involved in H-bonds, pi-stacking and pi-cation interactions that contribute additional electrostatic potency to sustain stability and complexity of protein-ligand complexes, thus they have ability to profoundly adopted by pharmacophoric features. Furthermore, lead molecules have an inhibition percent probability, anticancer potency, toxic impacts, flexible pharmacokinetics, potential gene-chemical interactions towards EGFR were revealed by computational systems biology tools. Our multiple screening strategies confirmed that the druggable sub-pocket was crucial to strong EGFR-ligand binding. The essential pharmacophoric features of ligands provided viewpoints for new inhibitors envisaging, and predicted scaffolds could used as anticancer agents against selected EGFR mutated isoforms.
机译:可观察到的表皮生长因子受体(EGFR)的突变同种型是调节非小细胞肺癌(NSCLC)的重要治疗基准。最近,基于喹唑啉的ATP竞争性抑制剂已经针对EGFR开发了;然而,这些意味着突变概率,这有助于发现EGFR突变体的高可能新型抑制剂。因此,进行了基于SAR的生物活性分析,分子对接和计算毒物学方法,以鉴定和评估吉非替尼的新类似物对EGFR双突变模型的配体结合结构域。从不同的分子聚类和分子筛选策略组中,通过三相集合对接方法鉴定了顶部高结合的吉替尼 - 类似物,并通过三相整体对接方法研究了EGFR芯腔。产生的高可能导致显示出比吉非替尼(阳性对照)的良好结合取向,因此它们经受药物团分析,其具有与EGFR结构域紧密结合的分子资产。将残留物SER720,ARG841和TRP880被观察为新的热点,参与H键,PI堆叠和PI-阳离子相互作用,这有助于额外的静电效力来维持蛋白质 - 配体复合物的稳定性和复杂性,因此它们具有深刻采用的能力通过药物功能。此外,铅分子具有抑制百分比概率,抗癌效力,毒性影响,柔性药代动力学,通过计算系统的生物学工具揭示了EGFR的潜在基因 - 化学相互作用。我们的多种筛选策略证实,可脱胶的亚袋对强大的EGFR-配体结合至关重要。配体的基本药物特征为预测的新抑制剂提供了对新抑制剂的观点,并且预测的支架可以用作抗癌的EGFR突变同种型的抗癌剂。

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