Quantifying instrument errors in macromolecular X-ray data sets
- 15 May 2010
- journal article
- research article
- Published by International Union of Crystallography (IUCr) in Acta Crystallographica Section D-Biological Crystallography
- Vol. 66 (6), 733-740
- https://doi.org/10.1107/s0907444910014836
Abstract
An indicator which is calculated after the data reduction of a test data set may be used to estimate the (systematic) instrument error at a macromolecular X-ray source. The numerical value of the indicator is the highest signal-to-noise [I/σ(I)] value that the experimental setup can produce and its reciprocal is related to the lower limit of the mergingRfactor. In the context of this study, the stability of the experimental setup is influenced and characterized by the properties of the X-ray beam, shutter, goniometer, cryostream and detector, and also by the exposure time and spindle speed. Typical values of the indicator are given for data sets from the JCSG archive. Some sources of error are explored with the help of test calculations usingSIM_MX[Diederichs (2009),Acta Cryst.D65, 535–542]. One conclusion is that the accuracy of data at low resolution is usually limited by the experimental setup rather than by the crystal. It is also shown that the influence of vibrations and fluctuations may be mitigated by a reduction in spindle speed accompanied by stronger attenuation.Keywords
This publication has 19 references indexed in Scilit:
- Carrying out an optimal experimentActa Crystallographica Section D-Biological Crystallography, 2010
- PHENIX: a comprehensive Python-based system for macromolecular structure solutionActa Crystallographica Section D-Biological Crystallography, 2010
- Integration, scaling, space-group assignment and post-refinementActa Crystallographica Section D-Biological Crystallography, 2010
- XDSActa Crystallographica Section D-Biological Crystallography, 2010
- Exploration of Uncharted Regions of the Protein UniversePLoS Biology, 2009
- PILATUS: A single photon counting pixel detector for X-ray applicationsNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2009
- Simulation of X-ray frames from macromolecular crystals using a ray-tracing approachActa Crystallographica Section D-Biological Crystallography, 2009
- Scaling and assessment of data qualityActa Crystallographica Section D-Biological Crystallography, 2005
- A quantitative approach to data-collection strategiesActa Crystallographica Section D-Biological Crystallography, 2005
- The CCP4 suite: programs for protein crystallographyActa Crystallographica Section D-Biological Crystallography, 1994