I/σI vs {Rmerg, Rmeas, Rpim, CC1/2} for Crystal Diffraction Data Quality Evaluation.

Zhengqing Fu, Brian V Geisbrecht, Samuel Bouyain, Fred Dyda, John J Chrzas, Palani Kandavelu, Darcie J Miller, Bi-Cheng Wang
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Abstract

X-ray crystal diffraction has provided atomic-level structural information on biological macromolecules. Data quality determines the reliability of structural models. In most cases, multiple data sets are available from different crystals and/or collected with different experimental settings. Reliable metrics are critical to rank and select the data set with the highest quality. Many measures have been created or modified for data quality evaluation. However, some are duplicate in functionality, and some are likely misused due to misunderstanding, which causes confusion or problems, especially at synchrotron beamlines where experiments proceed quickly. In this work, these measures are studied through both theoretical analysis and experimental data with various characteristics, which demonstrated that: 1). {Rmerg, Rmeas, Rpim, CC1/2} all measure the equivalence of reflections, and the low-shell values of these metrics can be used as reliable indicators for correctness (or trueness) of Laue symmetry; 2). High-shell I/σI is a reliable and better indicator to select resolution cutoff while the overall value measures the overall strength of the data.

晶体衍射数据质量评价的I/σI vs {Rmerg, rmes, Rpim, CC1/2}
x射线晶体衍射提供了生物大分子的原子级结构信息。数据质量决定了结构模型的可靠性。在大多数情况下,可以从不同的晶体和/或用不同的实验设置收集多个数据集。可靠的指标对于排名和选择具有最高质量的数据集至关重要。已经创建或修改了许多用于数据质量评估的度量。然而,有些在功能上是重复的,有些可能由于误解而被误用,这会导致混乱或问题,特别是在同步加速器束流中,实验进行得很快。本文通过理论分析和实验数据,研究了这些度量的能力、意义、有效性和相关性,以澄清混淆和误用,从而从不同方面确定最可靠的度量来评估数据质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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