Suppr超能文献

实空间精修在蛋白质结构测定中的潜在应用。

Potential use of real-space refinement in protein structure determination.

作者信息

Chapman M S, Blanc E

机构信息

Department of Chemistry and Institute of Molecular Biophysics, Florida State University, Tallahassee 32306-3015, USA.

出版信息

Acta Crystallogr D Biol Crystallogr. 1997 Mar 1;53(Pt 2):203-6. doi: 10.1107/S0907444996012280.

Abstract

Through testing refinement protocols using free R-factor estimates of model quality, it is shown that real-space refinement can be a useful addition to conventional reciprocal-space refinement, even for protein structures with poor electron-density maps derived from multiple isomorphous replacement. By alternating real- and reciprocal-space refinements, starting with an experimental map, then calculating 2F(o) - F(c) maps, it is demonstrated with the structure of HMG-CoA reductase, that quick automatic refinement can yield a model with a free R factor 1.5% better than exhaustive reciprocal-space refinement, and within 1% of a model that was interactively rebuilt and refined repeatedly.

摘要

通过使用模型质量的自由R因子估计来测试优化协议,结果表明,即使对于通过多同晶置换得到的电子密度图较差的蛋白质结构,实空间优化也可以成为传统倒易空间优化的有益补充。从实验图谱开始,交替进行实空间和倒易空间优化,然后计算2F(o)-F(c)图谱,以HMG-CoA还原酶的结构为例,证明快速自动优化得到的模型的自由R因子比详尽的倒易空间优化好1.5%,且与经过反复交互式重建和优化的模型相差不到1%。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验