Urzhumtsev Alexandre, Afonine Pavel V, Lunin Vladimir Y, Terwilliger Thomas C, Adams Paul D
Centre for Integrative Biology, Department of Integrated Structural Biology, IGMBC, CNRS UMR 7104-INSERM U964-Université de Strasbourg, 1 Rue Laurent Fries, BP 10142, 67404 Illkirch, France.
Lawrence Berkeley National Laboratory, One Cyclotron Road, BLDG 64R0121, Berkeley, CA 94720, USA.
Acta Crystallogr D Biol Crystallogr. 2014 Oct;70(Pt 10):2593-606. doi: 10.1107/S1399004714016289. Epub 2014 Sep 27.
Numerical comparison of crystallographic contour maps is used extensively in structure solution and model refinement, analysis and validation. However, traditional metrics such as the map correlation coefficient (map CC, real-space CC or RSCC) sometimes contradict the results of visual assessment of the corresponding maps. This article explains such apparent contradictions and suggests new metrics and tools to compare crystallographic contour maps. The key to the new methods is rank scaling of the Fourier syntheses. The new metrics are complementary to the usual map CC and can be more helpful in map comparison, in particular when only some of their aspects, such as regions of high density, are of interest.
晶体学等高线图的数值比较在结构解析、模型精修、分析及验证中被广泛应用。然而,诸如图谱相关系数(图谱CC、实空间CC或RSCC)等传统指标有时与相应图谱的视觉评估结果相矛盾。本文解释了此类明显的矛盾,并提出了用于比较晶体学等高线图的新指标和工具。新方法的关键在于傅里叶合成的秩缩放。新指标是对常用图谱CC的补充,在图谱比较中可能更有帮助,特别是当只关注它们的某些方面(如高密度区域)时。