Inevitably Rfactors are higher for data sets with strong pseudo translation
. It forces a sub set of the reflections to be systematically weak and
weak reflections always have higher R factors..
So if your maps look good I think you can be happy with your results.
As Randy says quite often false
Dear Renu,
If the intensity statistics (especially the L-test and Phaser's second moments
tests after the tNCS correction) do not indicate twinning, then you probably
would not be justified in assuming that the crystal is twinned, unless you find
good evidence (e.g. from the symmetry of the MR
Dear All,
I am trying to refine a 1.9 A structure that indexed with excellent statistics
(XDS) into a primitive monoclinic cell with cell lengths a=81.33, b=90.11,
c=113.25 and beta angle =102.15. Data analysis (Xtriage) indicated strong
pseudo-symmetry with an off-origin peak (53% of origin p
Hello
If you are dealing with oligomers conserved in evolution, InterEvDock can be a
good choice since it implements a coevolution-based score
(http://mobyle.rpbs.univ-paris-diderot.fr/cgi-bin/portal.py#forms::InterEvDock2).
Their new version handle oligomers with sequence alignments automaticall
