首页> 外文期刊>Monatshefte fur Chemie >Identification of 2,4-diarylaminopyrimidine analogues as ALK inhibitors by using 3D-QSAR, molecular docking, and molecular dynamics simulations
【24h】

Identification of 2,4-diarylaminopyrimidine analogues as ALK inhibitors by using 3D-QSAR, molecular docking, and molecular dynamics simulations

机译:使用3D-QSAR,分子对接和分子动力学模拟鉴定2,4-二芳基吡啶胺类似物作为ALK抑制剂

获取原文
获取原文并翻译 | 示例
       

摘要

Anaplastic lymphoma kinase (ALK) is a particularly promising target for the development of small molecule anti-cancer drugs. In the present study, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on 60 ALK inhibitors to build three-dimensional quantitative structure-activity relationship models. Both the ligand-based resultants of CoMFA (r (2) 0.970, q (2) 0.660) and CoMSIA (r (2) 0.979, q (2) 0.623) models exhibited good predictability. The resulting contour maps illustrated the regions where interactive fields may affect the activity. Molecular docking was then performed to explore the interactions between these inhibitors and the ALK-4DCE protein. A few key residues (His32, Gly31, Gly169, Asp170, Val35, Ala100, Pro160, Lys50, and Leu30) at the binding site of 4DCE were identified. Molecular dynamics simulation further verified the reliability. The information acquired in this work not only provides a better appreciation of interactions between these molecules and the ALK receptor but could also be applied to design more effective ALK inhibitors.
机译:Anpluplastic淋巴瘤激酶(Alk)是用于发育小分子抗癌药物的特别有希望的靶标。在本研究中,对60烷抑制剂进行比较分子场分析(COMFA)和比较分子相似性指数分析(COMSIA),以构建三维定量结构 - 活性关系模型。 COMFA(R(2)0.970,Q(2)0.660)和COMSIA(R(2)0.979,Q(2)0.623)模型的配体的基于配体的结果均表现出良好的可预测性。得到的轮廓图示出了交互式场可能影响活动的区域。然后进行分子对接以探讨这些抑制剂和ALK-4DCE蛋白之间的相互作用。鉴定了几种关键残留物(HIS32,GLY31,GLY169,ASP170,VAL35,ALA100,PRO160,LYS50和LEU30)在4DCE的结合部位进行。分子动力学模拟进一步验证了可靠性。在该工作中获得的信息不仅可以更好地欣赏这些分子和ALK受体之间的相互作用,而且还可以应用于设计更有效的ALK抑制剂。

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