Dear mohamed noor, thin shells are commonly picked in cases of twinned data. As Andrew points out in the email you link, the NCS makes the refinement behave well, so also you will probably get away with 'normal' randomly selected reflections. At high resolution the data to parameter refinement also increases and the Rfree looses its meaning. That's one of the reasons why people don't use Rfree for small molecule structure determination and why ML refinement show not much improvement compared to least squares minimisation (it's different for charge density studies, when the data to parameter goes down again). Regards, Tim On 06/04/2015 01:18 AM, mohamed noor wrote:
Dear all
I found a not-so-old thread about this topic: http://phenix-online.org/pipermail/phenixbb/2012-January/018259.html. Maybe there has been significant changes in phenix.refine since then.
However, I couldn't find a conclusion. In my case, my data extends to 1.4 A with the R/R free being around 23/26 %. There is also pseudo symmetry, so there are 16 NCS copies in a lower symmetry group than what Xtriage suggested. The map looks fine with density for some H atoms even being visible.
On what basis should I decide whether to use (or not) thin shell assignment? And what is the cut-off for number of NCS copies?
Thanks.
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