Improved R-factors for diffraction data analysis in macromolecular crystallography.

K Diederichs; P A Karplus

doi:10.1038/nsb0497-269

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PubMed · 9095194

Improved R-factors for diffraction data analysis in macromolecular crystallography.

K Diederichs·P A Karplus

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Abstract

The quantity Rsym (also called Rmerge) is almost universally used for describing X-ray diffraction data quality. Here, we prove that Rsym is seriously flawed, because it has an implicit dependence on the redundance of the data. A corrected R-factor, Rmeas, is introduced as the equivalent robust indicator of data consistency. In addition, we introduce Rmrgd 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.

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K Diederichs, P A Karplus. 1997. Improved R-factors for diffraction data analysis in macromolecular crystallography.. https://doi.org/10.1038/nsb0497-269

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