...
首页> 外文期刊>Future Journal of Pharmaceutical Sciences >Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach
【24h】

Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach

机译:设计更有效的喹唑啉衍生物作为EGFRWT抑制剂,用于治疗NSCLC:一种计算方法

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Background:Lung cancer remains the leading and deadly type of cancer worldwide. It was estimated to account for about 25% of the 7 million people that died as a result of cancer-related issues/mortality every year in the world. Non-small cell lung cancer (NSCLC) is the lethal/deadly class of lung cancer with nearly 1.5 million reported cases and less than 20% survival rate. Therefore, it becomes necessary to explore more effective NSCLC drugs.ResultA computational approach was employed here to design ten new EGFRWT inhibitors using compound 18 as a template for the design identified with the best binding affinity and good pharmacokinetic properties previously reported in our work. The modeled inhibitory activities of these newly designed EGFRWT inhibitors (range from 7.746966 to 11.09261) were better than that of the hit compound with pIC50 of 7.5639 and gefitinib the positive control with pIC50 of 5.879426. The ligand-binding interaction between these newly designed EGFRWT inhibitors and the EGFR tyrosine kinase receptor as shown in Table 3 was investigated and elucidated using molecular docking protocol. Based on the molecular docking results, the binding affinities of these newly designed EGFRWT inhibitors were found to be between ??8.8 and ??9.5?kcal/mol. The designed compound SFD10 has the highest binding affinity of ??9.5?kcal/mol followed by compound SFD8 (with a binding affinity of ??9.3?kcal/mol), then by compound SFD9 and 4 (each with a binding affinity of ??9.3?kcal/mol). None of them was found to have more than one violation of the filtering criterion used in this study thereby showing good ADMET properties.ConclusionThe modeled inhibitory activities and binding affinities of these newly designed EGFRWT inhibitors were found to be higher than that of the template compound and the control (gefitinib) used in this research. They were also seen to be non-toxic with good pharmacokinetic properties.
机译:背景:肺癌仍然是全世界癌症的领先和致命类型。据估计,占世界癌症相关问题/死亡率的700万人中的约25%,每年在世界上每年死亡。非小细胞肺癌(NSCLC)是肺癌的致命/致命阶级,报告患者近150万个病例,存活率少于20%。因此,有必要探索更有效的NSCLC药物。此处使用计算方法来使用化合物18设计10个新的EGFR wt 抑制剂,作为具有最佳结合亲和力和良好药代动力学的设计的模板。在我们的工作中先前报道的性质。这些新设计的EGFR wt 抑制剂的模型抑制活性(范围为7.746966至11.09261)优于3.5639和吉替尼的击中化合物的麦芽化合物PIC 50 为5.879426。采用分子对接方案研究了如表3所示的这些新设计的EGFR wt 抑制剂和EGFR酪氨酸激酶受体之间的配体结合相互作用。基于分子对接结果,发现这些新设计的EGFR wt 抑制剂的结合亲和力是在Δε中的Δθ中的Δε/ kcal / mol。所设计的化合物SFD10具有最高的粘合剂亲和力为9.5·kcal / mol,然后是化合物SFD8(具有α0的结合亲和力/ kcal / mol),然后通过化合物SFD9和4(每个具有结合亲和力? ?9.3?kcal / mol)。没有发现它们没有一个以上违反该研究中使用的过滤标准,从而显示出良好的呼吸特性。结论这些新设计的EGFR wt 抑制剂的建模抑制活性和结合亲和力高于模板化合物和本研究中使用的对照(Gefitinib)。它们也被视为无毒,具有良好的药代动力学性质。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号