...
首页> 外文期刊>The journal of physical chemistry, B. Condensed matter, materials, surfaces, interfaces & biophysical >Ensemble Docking in Drug Discovery: How Many Protein Configurations from Molecular Dynamics Simulations are Needed To Reproduce Known Ligand Binding?
【24h】

Ensemble Docking in Drug Discovery: How Many Protein Configurations from Molecular Dynamics Simulations are Needed To Reproduce Known Ligand Binding?

机译:在药物发现中的合奏对接:需要分子动力学模拟的蛋白质配置,以再现已知的配体结合?

获取原文
获取原文并翻译 | 示例

摘要

Ensemble docking in drug discovery or chemical biology uses dynamical simulations of target proteins to generate binding site conformations for docking campaigns. We show that 600 ns molecular dynamics simulations of four G-protein-coupled receptors in their membrane environments generate ensembles of protein configurations that, collectively, are selected by 70-99% of the known ligands of these proteins. Therefore, the process of ligand recognition by conformational selection can be reproduced by combining molecular dynamics and docking calculations. Clustering of the molecular dynamics trajectories, however, does not necessarily identify the protein conformations that are most often selected by the ligands.
机译:在药物发现或化学生物学中的集合对接使用靶蛋白的动态模拟,以产生用于对接运动的结合位点构象。 我们表明,在其膜环境中的四个G蛋白偶联受体的600ns分子动力学模拟产生蛋白质配置的合并,其共同选择这些蛋白质的已知配体的70-99%。 因此,通过组合分子动力学和对接计算,可以通过构象选择来再现配体识别的过程。 然而,分子动力学轨迹的聚类不一定识别最常见的配体选择的蛋白质构象。

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