...
首页> 外文期刊>Natural product communications >Molecular Docking and Binding Mode Analysis of Plant Alkaloids as in vitro and in silico Inhibitors of Trypanothione Reductase from Trypanosoma cruzi
【24h】

Molecular Docking and Binding Mode Analysis of Plant Alkaloids as in vitro and in silico Inhibitors of Trypanothione Reductase from Trypanosoma cruzi

机译:植物生物碱分子的对接和结合模式分析,作为克氏锥虫中锥虫硫醚还原酶的体外和计算机抑制剂

获取原文
获取原文并翻译 | 示例
           

摘要

Trypanothione reductase (TryR) is a key enzyme in the metabolism of Trypanosoma cruzi, the parasite responsible for Chagas disease. The available repertoire of TryR inhibitors relies heavily on synthetic substrates of limited structural diversity, and less on plant-derived natural products. In this study, a molecular docking procedure using a Lamarckian Genetic Algorithm was implemented to examine the protein-ligand binding interactions of strong in vitro inhibitors for which no X-ray data is available. In addition, a small, skeletally diverse, set of natural alkaloids was assessed computationally against T. cruzi TryR in search of new scaffolds for lead development. The preferential binding mode (low number of clusters, high cluster population), together with the deduced binding interactions were used to discriminate among the virtual inhibitors. This study confirms the prior in vitro data and proposes quebrachamine, cephalotaxine, cryptolepine, (22S,25S)-tomatidine, (22R,25S)-solanidine, and (22R,25R)-solasodine as new alkaloid scaffold leads in the search for more potent and selective TryR inhibitors.
机译:锥虫硫磷还原酶(TryR)是克氏锥虫(Trypanosoma cruzi)的新陈代谢中的关键酶,锥虫是负责恰加斯病的寄生虫。 TryR抑制剂的可用库主要依赖于结构多样性有限的合成底物,而较少依赖于植物来源的天然产物。在这项研究中,实施了使用Lamarckian遗传算法的分子对接程序,以检查没有X射线数据的强体外抑制剂的蛋白质-配体结合相互作用。此外,针对克鲁斯锥虫TryR,通过计算评估了一组小的,骨骼不同的天然生物碱,以寻找用于铅开发的新支架。优先结合模式(低簇数,高簇数)以及推导的结合相互作用被用来区分虚拟抑制剂。这项研究证实了先前的体外数据,并提出了quebrachamine,头孢他辛,cryptlelepine,(22S,25S)-番茄碱,(22R,25S)-茄碱和(22R,25R)-索拉索定作为新的生物碱支架材料,以寻求更多的研究成果。有力和选择性的TryR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