[phenixbb] refinement with translational ncs
iulek at uepg.br
Wed Jan 27 02:46:19 PST 2021
I have a dataset at 2.98 A resolution, images processed to CC_1/2
at circa 50% in the last resolution shell, tetramer in the asymmetric
unit, local (rotational) symmetry 222. Xtriage indicates a peak in the
Patterson function at 20% height of origin peak, at fractional
coordinates of 0.0000 0.0000 0.3177. Space group is P21.
I am aware that this brings problems to refinement , as even
stated at xtriage output "Translational pseudo-symmetry is very likely
present in these data. Be aware that this will change the intensity
statistics and may impact subsequent analyses, and in practice may lead
to higher R-factors in refinement.", and so I can't lower my R and
R-free below ~31 and 36 % , respectively.
At phenix.refine, setting "tncs_correction = True" brings little
benefit (what does this actually do? points to references are welcome).
I wonder nevertheless if some strategy might help in on lowering these
R's and, of course, allow me to build a better model (in spite of the
resolution). I tried some combinations of other types of ncs and tls
groups, with little success. Particularly, it seems that the refinement
of ADPs are a kind of unstable (what I would understand come from the -
partial - modular nature of the intensities - due to tncs - and these -
ADP - would be reflected by the intensity fall-off with resolution).
What about refining ADPs only to a zone which is not affect by data
modulation? How to do that? Any other ideas?
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