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The safest way to optimize the data reduction is to look at external quality indicators. Internal R-factors, and even the correlation coefficient of the anomalous signal are of comparatively little value. A readily available external quality indicator is CC All/CC Weak as obtained by [[ccp4com:SHELX_C/D/E|SHELXD]], and the percentage of successful trials. | The safest way to optimize the data reduction is to look at external quality indicators. Internal R-factors, and even the correlation coefficient of the anomalous signal are of comparatively little value. A readily available external quality indicator is CC All/CC Weak as obtained by [[ccp4com:SHELX_C/D/E|SHELXD]], and the percentage of successful trials. | ||
I tried a number of possibilities: | |||
* [[Optimization]] by "re-cycling" GXPARM.XDS to XPARM.XDS and re-running INTEGRATE, coupled with REFINE(INTEGRATE)= ! (empty list) and specifying BEAM_DIVERGENCE_E.S.D. and similar parameters as obtained from INTEGRATE.LP: this quite often helps to improve geometry a bit but had no clear effect here. | |||
* STRICT_ABSORPTION_CORRECTION=TRUE - this is useful if the chi^2 -values of the three scaling steps in CORRECT.LP are 1.5 and higher which is not the case here. Consequently this also had no clear effect. | |||
* increasing MAXIMUM_ERROR_OF_SPOT_POSITION from its default of 3 to ( 3 * STANDARD DEVIATION OF SPOT POSITION (PIXELS)) which would mean increasing to 5 here: no clear effect. | |||
* increasing WFAC1 : this was suggested by the number of misfits which is clearly higher than the usual 1 % of observations. WFAC1=1.5 has indeed a very positive effect on SHELXD: for dataset 1, the best CC All/Weak becomes 44.93 / 22.82 (dataset 2: 48.11 / 27.78), and the number of successful trials goes from about 60% to 91% (dataset 2: 94%).''' One should note that all internal quality indicators get worse when increasing WFAC1 - but the external ones got significant better!''' The number of misfits with WFAC1=1.5 dropped to 196 / 436 for datasets 1 and 2, respectively. | |||
We may thus conclude that in this case the rejection of misfits beyond the target value of 1% reduces data quality significantly. If no successful trials are made by SHELXD it may be worth to always try WFAC1=1.5 if the number of misfits is high. | |||
===structure solution=== | ===structure solution=== |