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1
Application of DEN refinement and automated model building to a difficult case of molecular-replacement phasing: the structure of a putative succinyl-diaminopimelate desuccinylase from Corynebacterium glutamicum.将密度修改与自动模型构建应用于分子置换相位确定的一个困难案例:谷氨酸棒杆菌假定琥珀酰二氨基庚二酸去琥珀酰化酶的结构
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2
Use of knowledge-based restraints in phenix.refine to improve macromolecular refinement at low resolution.在phenix.refine中使用基于知识的约束来改善低分辨率下的大分子精修。
Acta Crystallogr D Biol Crystallogr. 2012 Apr;68(Pt 4):381-90. doi: 10.1107/S0907444911047834. Epub 2012 Mar 16.
3
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Acta Crystallogr D Biol Crystallogr. 2012 Apr;68(Pt 4):352-67. doi: 10.1107/S0907444912001308. Epub 2012 Mar 16.
4
Improved molecular replacement by density- and energy-guided protein structure optimization.密度和能量引导的蛋白质结构优化提高分子置换
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5
REFMAC5 for the refinement of macromolecular crystal structures.用于大分子晶体结构精修的REFMAC5
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8
Super-resolution biomolecular crystallography with low-resolution data.低分辨率数据的超分辨率生物分子晶体学。
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9
PHENIX: a comprehensive Python-based system for macromolecular structure solution.PHENIX:一个基于Python的用于大分子结构解析的综合系统。
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MolProbity: all-atom structure validation for macromolecular crystallography.MolProbity:用于大分子晶体学的全原子结构验证
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提高 7Å 分辨率下大分子结构精修的准确性。

Improving the accuracy of macromolecular structure refinement at 7 Å resolution.

机构信息

Howard Hughes Medical Institute and Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.

出版信息

Structure. 2012 Jun 6;20(6):957-66. doi: 10.1016/j.str.2012.04.020.

DOI:10.1016/j.str.2012.04.020
PMID:22681901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3380535/
Abstract

In X-ray crystallography, molecular replacement and subsequent refinement is challenging at low resolution. We compared refinement methods using synchrotron diffraction data of photosystem I at 7.4 Å resolution, starting from different initial models with increasing deviations from the known high-resolution structure. Standard refinement spoiled the initial models, moving them further away from the true structure and leading to high R(free)-values. In contrast, DEN refinement improved even the most distant starting model as judged by R(free), atomic root-mean-square differences to the true structure, significance of features not included in the initial model, and connectivity of electron density. The best protocol was DEN refinement with initial segmented rigid-body refinement. For the most distant initial model, the fraction of atoms within 2 Å of the true structure improved from 24% to 60%. We also found a significant correlation between R(free) values and the accuracy of the model, suggesting that R(free) is useful even at low resolution.

摘要

在 X 射线晶体学中,分子置换和随后的精修在低分辨率下具有挑战性。我们比较了使用同步加速器衍射数据对光合系统 I 进行精修的方法,分辨率为 7.4Å,从与已知高分辨率结构偏差越来越大的不同初始模型开始。标准精修破坏了初始模型,使它们进一步偏离真实结构,并导致高 R(free)-值。相比之下,DEN 精修甚至可以改进最遥远的初始模型,这可以通过 R(free)、与真实结构的原子均方根差异、初始模型中未包含的特征的显著性以及电子密度的连通性来判断。最佳方案是 DEN 精修与初始分段刚体精修相结合。对于最遥远的初始模型,真实结构 2Å 范围内的原子分数从 24%提高到 60%。我们还发现 R(free)值与模型准确性之间存在显著相关性,表明即使在低分辨率下,R(free)也很有用。