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基于配体的槲皮素相关潜在新型类似物针对表皮生长因子受体的虚拟筛选、分子对接、定量构效关系及药效团分析

Ligand-based virtual screening, molecular docking, QSAR and pharmacophore analysis of quercetin-associated potential novel analogs against epidermal growth factor receptor.

作者信息

Bommu Uma Devi, Konidala Kranthi Kumar, Pabbaraju Neeraja, Yeguvapalli Suneetha

机构信息

a Department of Zoology, Division of Cancer Informatics , Sri Venkateswara University , Tirupati , India.

b Department of Zoology, Division of Molecular Physiology , Sri Venkateswara University , Tirupati , India.

出版信息

J Recept Signal Transduct Res. 2017 Dec;37(6):600-610. doi: 10.1080/10799893.2017.1377237.

DOI:10.1080/10799893.2017.1377237
PMID:28958213
Abstract

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-π 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.

摘要

本研究旨在探索槲皮素类似物作为抗人表皮生长因子受体(EGFR)的有效抗癌药物的治疗潜力和检验方法,EGFR是调节非小细胞肺癌(NSCLC)的一个一致特征。在此,基于配体的虚拟筛选、药效团方法和分子对接被确立为识别针对EGFR配体结合域(PDB代码:1XKK)的小分子类似物的合理策略。不良反应、毒理基因组学和药代动力学研究表明,10种候选物显示出可靠的结果,副作用较小且对靶受体更有效。蛋白质-配体相互作用图谱显示,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,它们可能会使产生耐药性的单一改变变得复杂。计算机模拟抗癌特性解释了被认为是灵活的且经过实验验证的先导支架。总体结果表明,所识别的先导物可作为新抑制剂的参考骨架,用于设计针对EGFR的抑制剂,以改善NSCLC和其他恶性疾病。

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