...
首页> 外文期刊>Angewandte Chemie >Predicting F-19 NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex
【24h】

Predicting F-19 NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex

机译:预测F-19 NMR化学变换:促锥体氧化还原酶抑制剂复合物的组合计算和实验研究

获取原文
获取原文并翻译 | 示例
           

摘要

The absence of fluorine from most biomolecules renders it an excellent probe for NMR spectroscopy to monitor inhibitor-protein interactions. However, predicting the binding mode of a fluorinated ligand from a chemical shift (or vice versa) has been challenging due to the high electron density of the fluorine atom. Nonetheless, reliable F-19 chemical-shift predictions to deduce ligand-binding modes hold great potential for in silico drug design. Herein, we present a systematic QM/MM study to predict the F-19 NMR chemical shifts of a covalently bound fluorinated inhibitor to the essential oxidoreductase tryparedoxin (Tpx) from African trypanosomes, the causative agent of African sleeping sickness. We include many protein-inhibitor conformations as well as monomeric and dimeric inhibitor-protein complexes, thus rendering it the largest computational study on chemical shifts of F-19 nuclei in a biological context to date. Our predicted shifts agree well with those obtained experimentally and pave the way for future work in this area.
机译:缺乏来自大多数生物分子的氟使其成为NMR光谱的优异探针,以监测抑制剂 - 蛋白质相互作用。然而,由于氟原子的高电子密度,预测氟化配体的结合模式已经挑战(反之亦然)。尽管如此,可靠,可靠的F-19化学换档预测,推导配体结合模式占Silico药物设计的巨大潜力。在此,我们提出了一种系统的QM / MM研究,以预测来自非洲曲折的基本氧化还原酶蛋白酶(TPX)的共价结合氟化酶蛋白酶(TPX)的F-19 NMR化学位移,非洲睡眠疾病的致病因子。我们包括许多蛋白质抑制剂兼容性以及单体和二聚体抑制剂 - 蛋白质复合物,因此使其在生物背景下的F-19核的化学位移最大的计算研究。我们预测的转变与实验获得的人同意,并为未来工作铺平了这一领域的方式。

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