首页> 美国卫生研究院文献>Acta Crystallographica Section D: Biological Crystallography >Improved crystallographic models through iterated local density-guided model deformation and reciprocal-space refinement
【2h】

Improved crystallographic models through iterated local density-guided model deformation and reciprocal-space refinement

机译:通过迭代的局部密度引导模型变形和倒数空间细化改进晶体学模型

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

An approach is presented for addressing the challenge of model rebuilding after molecular replacement in cases where the placed template is very different from the structure to be determined. The approach takes advantage of the observation that a template and target structure may have local structures that can be superimposed much more closely than can their complete structures. A density-guided procedure for deformation of a properly placed template is introduced. A shift in the coordinates of each residue in the structure is calculated based on optimizing the match of model density within a 6 Å radius of the center of that residue with a prime-and-switch electron-density map. The shifts are smoothed and applied to the atoms in each residue, leading to local deformation of the template that improves the match of map and model. The model is then refined to improve the geometry and the fit of model to the structure-factor data. A new map is then calculated and the process is repeated until convergence. The procedure can extend the routine applicability of automated molecular replacement, model building and refinement to search models with over 2 Å r.m.s.d. representing 65–100% of the structure.
机译:在所放置的模板与要确定的结构非常不同的情况下,提出了一种解决分子替换后模型重建挑战的方法。该方法利用了以下观察结果:模板和目标结构可能具有局部结构,该结构可以比其完整结构更紧密地叠加。引入了用于适当放置模板变形的密度引导程序。根据结构上每个残基坐标的位移,是通过使用质数-转换电子密度图优化模型密度在该残基中心6?Å半径内的匹配来实现的。偏移被平滑并应用于每个残基中的原子,从而导致模板的局部变形,从而改善了图和模型的匹配度。然后完善模型以改善几何形状以及模型对结构因子数据的拟合度。然后计算新的图,并重复该过程直到收敛。该程序可以将自动分子替换,模型构建和优化的常规适用性扩展到2År.m.s.d以上的搜索模型。占结构的65-100%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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