Chapman M S, Blanc E
Department of Chemistry and Institute of Molecular Biophysics, Florida State University, Tallahassee 32306-3015, USA.
Acta Crystallogr D Biol Crystallogr. 1997 Mar 1;53(Pt 2):203-6. doi: 10.1107/S0907444996012280.
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.
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%。