Improved R-factors for diffraction data analysis in macromolecular crystallography

被引:808
作者
Diederichs, K
Karplus, PA
机构
[1] UNIV KONSTANZ,FAK BIOL,D-78434 CONSTANCE,GERMANY
[2] CORNELL UNIV,BIOCHEM MOL & CELL BIOL SECT,BIOTECHNOL BLDG,ITHACA,NY 14853
来源
NATURE STRUCTURAL BIOLOGY | 1997年 / 4卷 / 04期
关键词
KLEBSIELLA-AEROGENES; CRYSTAL-STRUCTURE; RESOLUTION; UREASE; DETECTOR;
D O I
10.1038/nsb0497-269
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The quantity R(sym) (also called R(merge)) is almost universally used for describing X-ray diffraction data quality. Here, we prove that R(sym) is seriously flawed, because it has an implicit dependence on the redundancy of the data. A corrected R-factor, R(meas), is introduced as the equivalent robust indicator of data consistency. In addition, we introduce R(mrgd), an R-factor that reflects the gain in accuracy upon averaging of equivalent reflections, as a useful indicator of the quality of reduced data. These new data quality indicators better reveal the benefits of highly redundant data and should stimulate improvements in data quality through increased merging of data from multiple crystals.
引用
收藏
页码:269 / 275
页数:7
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