The improvement in statistics by STARANISO is really spectacular, but I do 
wonder how much is caused by the directionally variable resolution limits and 
how much by the removal of solvent rings? The original data set statistics have 
big dips in CC1/2 at 6, 4.3 and 3.7 Å.
Also in the final statistics table, the completeness is really high, but I 
guess reflections from the "bad" direction(s) are not taken into account? It 
would be good to also know the spherical completeness and the CC1/2 values 
before going too far ahead with these data. Or perhaps better phrased: I'd 
simultaneously try to get a dataset from a better flash-cooled crystal while 
trying to get the most out of this dataset.

Mark J van Raaij
Dpto de Estructura de Macromoleculas, lab 20B
Centro Nacional de Biotecnologia - CSIC
calle Darwin 3
E-28049 Madrid, Spain
tel. +34 91 585 4616 (internal 432092)
Section Editor Acta Crystallographica F
https://journals.iucr.org/f/


> On 24 Oct 2022, at 03:43, Xu, Shenyuan <x...@miamioh.edu> wrote:
> 
> Dear CCP4 community,
> 
> I have encountered a dataset, which I thought should be easy to solve. The 
> volume of the cell unit seems to be expanded after image 271, which I think 
> is caused by radiation damage. After removing the last few images, the scaled 
> statistics seem good with the resolution set at 3:07 A:
> 
> d_max  d_min   #obs  #uniq   mult.  %comp       <I>  <I/sI>    r_mrg   r_meas 
>    r_pim   r_anom   cc1/2   cc_ano
>  91.54   8.33   3086   1197    2.58  98.44     345.2    51.3    0.101    
> 0.133    0.086    0.145   0.973*  -0.148
>   8.33   6.61   3005   1225    2.45  99.51     256.5    27.3    0.160    
> 0.212    0.138    0.260   0.923*  -0.140
>   6.61   5.78   2883   1190    2.42  98.43      92.9     9.4    0.278    
> 0.368    0.237    0.461   0.541*  -0.165
>   5.78   5.25   3195   1217    2.63  99.10      75.6     8.1    0.283    
> 0.369    0.233    0.436   0.618*  -0.107
>   5.25   4.87   3192   1206    2.65  99.42      92.5     8.3    0.281    
> 0.367    0.232    0.427   0.856*  -0.187
>   4.87   4.59   3230   1213    2.66  99.02     118.4    10.3    0.288    
> 0.378    0.240    0.456   0.870*  -0.053
>   4.59   4.36   2797   1156    2.42  92.93     137.0    12.2    0.309    
> 0.410    0.266    0.496   0.843*  -0.239
>   4.36   4.17   2694   1118    2.41  93.17     280.2    16.2    0.419    
> 0.575    0.392    0.847   0.491*  -0.142
>   4.17   4.01   3102   1188    2.61  95.50     133.6     9.9    0.392    
> 0.516    0.330    0.622   0.663*  -0.268
>   4.01   3.87   3224   1205    2.68  98.69     120.4     7.3    0.406    
> 0.539    0.349    0.687   0.791*  -0.126
>   3.87   3.75   2939   1181    2.49  98.91      90.7     6.8    0.491    
> 0.652    0.425    0.810   0.691*  -0.042
>   3.75   3.64   1981   1021    1.94  82.34      87.3     5.0    0.557    
> 0.756    0.506    0.885   0.540*  -0.018
>   3.64   3.54   2374   1082    2.19  89.13     194.6    11.2    0.502    
> 0.675    0.447    0.973   0.625*  -0.237
>   3.54   3.46   2622   1122    2.34  92.35     310.5    10.1    0.432    
> 0.585    0.392    0.851   0.603*  -0.154
>   3.46   3.38   1739    945    1.84  76.58      48.2     3.6    0.930    
> 1.247    0.822    1.542   0.444*  -0.046
>   3.38   3.31   2847   1240    2.30  98.57      85.4     4.2    0.691    
> 0.930    0.616    1.242   0.523*  -0.060
>   3.31   3.24   2838   1153    2.46  97.88      70.8     3.3    0.693    
> 0.934    0.620    1.341   0.362*   0.006
>   3.24   3.18   3097   1212    2.56  97.66      71.4     2.5    0.692    
> 0.924    0.605    1.173   0.526*   0.044
>   3.18   3.12   3204   1216    2.63  99.10      79.6     3.7    0.668    
> 0.886    0.576    1.338   0.440*  -0.081
>   3.12   3.07   3059   1172    2.61  98.16      73.5     2.4    0.714    
> 0.945    0.612    1.633   0.362*  -0.177
>  91.50   3.07  57108  23259    2.46  95.22     138.4    10.8    0.383    
> 0.513    0.336    0.671   0.656*  -0.149
> 
> I used Mrbump to do the MR, most sequence identities of the starting 
> templates are more than 0.85, and some of them are structures predicted from 
> alpha fold 2. But after refinement (including jelly-body, proSmart, TLC), the 
> best R/Free R stuck at around 0.42/0.45. Inspecting the electron density map 
> shows that the model does not fit the electron density well. The space group 
> is P1, Cell is 58.49 63.97 91.60 91.71 91.86 99.47, should be 5 or 6 
> molecules in the asymmetric unit.
> 
> I checked the data quality, it said the data is highly anisotropy. Then
> I searched the CCP4 forum and used the STARANISO Server and UCLA server, but 
> still cannot improve the refinement. The data statistics after drawing 
> ellipsoidal resolution limits is good:
> 
>  <pre>
>  resolution   observed     redundancy    completenes        rmerge         
> i/sigma 
>             before/after  before/after   before/after    before/after   
> before/after
>     7.90     4957  1185     3.5  3.3    97.3%   92.6%    13.0%  12.7%    11.9 
>   7.2
>     5.58     8023  2397     3.0  3.6    98.6%   98.9%    30.3%  11.8%     5.5 
>   7.5
>     4.56    11176  2624     3.3  3.1    99.1%   97.5%    57.1%  18.2%     3.7 
>   6.3
>     3.95    11694  3213     2.9  3.1    94.0%   99.0%    53.1%  27.5%     4.2 
>   4.3
>     3.53    12065  3524     2.6  3.0    92.8%   99.0%    49.8%  45.9%     3.2 
>   2.8
>     3.22    12828  4098     2.5  3.2    93.8%   99.1%    69.3%  53.2%     2.1 
>   2.7
>     2.98    17566  4628     3.2  3.3    98.6%   99.1%    98.1%  60.0%     1.6 
>   2.7
>     2.79    19405  4631     3.3  3.1    98.1%   96.8%   203.0%  70.3%     0.8 
>   2.7
>     2.63    20871  4001     3.3  2.5    98.1%   90.1%   760.1%  41.2%     0.3 
>   3.4
>     2.50    20352  5406     3.0  3.2    97.8%   97.3%   -99.9%  66.0%     0.0 
>   2.6
>     2.38    17281  5689     2.5  3.2    93.8%   98.2%   -99.9%  81.4%     0.0 
>   1.8
>     2.28    13198  3874     1.8  2.1    68.6%   88.0%   546.3% 193.2%     0.1 
>   0.6
>     2.19    10429  4961     1.4  2.6    52.5%   92.7%   -99.9%  31.0%     0.0 
>   4.8
>     2.11     7776  4275     1.0  2.1    41.2%   90.1%   -99.9% 266.0%     0.0 
>   0.6
>     2.04     5561  6084     0.7  2.9    30.9%   97.6%   531.4% 109.2%     0.1 
>   1.1
>     1.97     3818  6700     0.4  3.1    23.4%   97.4%   -99.9%  85.8%     0.0 
>   1.6
>     1.91     2269  5906     0.3  2.7    17.0%   83.9%   -99.9%  87.3%     0.0 
>   1.5
>     1.86     1191  5250     0.1  2.3    10.4%   69.2%   -99.9% 167.5%     0.0 
>   0.9
>     1.81      433  3961     0.0  1.7     4.5%   51.0%   -99.9% 225.7%     0.0 
>   0.8
>     1.77       60  2168     0.0  0.9     0.6%   27.2%   -99.9% 254.0%     0.0 
>   0.7
>    total   200953 84575     1.6  2.6    54.7%   84.6%    78.6%  54.0%     1.4 
>   2.4
>  </pre>
> 
> Any suggestions would help. I can provide the collected image dataset and the 
> sequence if anyone is interested.
> 
> Thanks,
> 
> Shenyuan Xu
> Miami University
> 
> 
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