Bert, Your self-Patterson peak may be real, i.e. you have pseudo
translation, which can then make the statistics *look* like the crystal
is twinned. Try a self-Patterson (perhaps sharpened) at somewhat lower
resolution, e.g 6 A. Maybe the peak is real, but is only 6% of origin
due to a slight mis-orientation of the molecules. Dave
David Borhani, Ph.D. 
D. E. Shaw Research, LLC 
120 West Forty-Fifth Street, 39th Floor 
New York, NY 10036 
[email protected] 
212-478-0698 
http://www.deshawresearch.com <http://www.deshawresearch.com/>  


________________________________

        From: CCP4 bulletin board [mailto:[email protected]] On
Behalf Of Van Den Berg, Bert
        Sent: Monday, February 16, 2009 9:12 AM
        To: [email protected]
        Subject: [ccp4bb] Questions about (possibly) twinned data
        
        
        Hello all,
         
        we have a dataset collected from multiple (2 or 3) parts of  the
same crystal with a microbeam (20 micron). The merged data scales OK
(not great) in monoclinic (1-3% rejections). The resolution is 3.2-3.3
A, so the data is not fantastic. This is the cell (similar for other
datasets):
         
        Cell: 70.012   126.449   107.988    90.000    89.946    90.000
p21
        

        Processing in orthorhombic makes the scaling a lot worse, so I'm
assuming its monoclinic for now. Running xtriage gives the following
summary:

        
------------------------------------------------------------------------
-------
        Twinning and intensity statistics summary (acentric data):
        
        Statistics independent of twin laws
          - <I^2>/<I>^2 : 1.877
          - <F>^2/<F^2> : 0.834
          - <|E^2-1|>   : 0.663
          - <|L|>, <L^2>: 0.411, 0.235
               Multivariate Z score L-test: 6.737
               The multivariate Z score is a quality measure of the
given
               spread in intensities. Good to reasonable data are
expected
               to have a Z score lower than 3.5.
               Large values can indicate twinning, but small values do
not
               necessarily exclude it.
        
        
        Statistics depending on twin laws
        
-----------------------------------------------------------------
        | Operator | type | R obs. | Britton alpha | H alpha | ML alpha
|
        
-----------------------------------------------------------------
        | h,-k,-l  |  PM  | 0.167  | 0.367         | 0.339   | 0.152
|
        
-----------------------------------------------------------------
        
        Patterson analyses
          - Largest peak height   : 5.962
           (corresponding p value : 0.72096)
        
        
        The largest off-origin peak in the Patterson function is 5.96%
of the
        height of the origin peak. No significant pseudotranslation is
detected.
        
        So, I'm assuming that these crystals are monoclinic and that
they are pseudo-merohedrally twinned. Is this a reasonable assumption? I
get a decent solution for the P21 data from molecular replacement with a
50% identical model (LLG 900, with the rotation Z-scores low (4-5), but
the corresponding translation Z-scores high (8-20)).

        My questions are: what would be the best way to refine? More
specifically, what twin fraction should be used as the different tests
give different fractions. Is the twin fraction automatically determined
in phenix.refine or does this need to be specified? Finally, can
twinning be responsible for the fact that the data do not scale well
(using data collected on different parts of the same crystal)?

        Any hints appreciated!

        Cheers, Bert

         
        Bert van den Berg
        University of Massachusetts Medical School
        Program in Molecular Medicine
        Biotech II, 373 Plantation Street, Suite 115
        Worcester MA 01605
        Phone: 508 856 1201 (office); 508 856 1211 (lab)
        e-mail: [email protected]
        http://www.umassmed.edu/pmm/faculty/vandenberg.cfm

         

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