1Y13: Difference between revisions

6,517 bytes added ,  17 March 2011
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=== Second try: correcting radiation damage at the level of individual reflections ===
=== Second try: correcting radiation damage at the level of individual reflections ===


Since we noted significant radiation damage we could try to correct that. All we have to do is ask XSCALE to do it:
Since we noted significant radiation damage we could try to correct that. All we have to do is ask XSCALE to do zero-dose extrapolation:
<pre>
<pre>
UNIT_CELL_CONSTANTS=103.316  103.316  131.456  90.000  90.000  90.000
UNIT_CELL_CONSTANTS=103.316  103.316  131.456  90.000  90.000  90.000
Line 587: Line 587:
[[File:1y13-raddam-site-occ-raddam.png]]
[[File:1y13-raddam-site-occ-raddam.png]]
[[File:1y13-raddam-contrast-raddam.png]]
[[File:1y13-raddam-contrast-raddam.png]]
== Automatically building almost 3/4 of the main chain ==
Based on the sites obtained by SHELXD, we run
shelxe.beta -a -q -h -b -s0.585 -m40 raddam raddam_fa
This already builds a significant number of residues, but also gives an improved list of heavy atom sites - there are actually 6 sites instead of the 5 that SHELXD wrote out (yes, we had asked SHELXD for 3 sites since there are 3 Met residues, but SHELXD as always was smarter than we are). We "mv raddam.hat raddam_fa.res" for another run of SHELXE:
shelxe.beta -a -q -h6 -b -s0.585 -m40 raddam raddam_fa
and get
<pre>
  374 residues left after pruning, divided into chains as follows:
A:  43  B:  37  C:  17  D:  19  E:  7  F:  16  G:  16  H:  5  I:  13
J:  5  K:  9  L:  40  M:  81  N:  12  O:  15  P:  7  Q:  5  R:  8
S:  13  T:  6
CC for partial structure against native data =  34.56 %
------------------------------------------------------------------------------
Global autotracing cycle  4
<wt> = 0.300, Contrast = 0.484, Connect. = 0.705 for dens.mod. cycle 1
<wt> = 0.300, Contrast = 0.704, Connect. = 0.780 for dens.mod. cycle 2
<wt> = 0.300, Contrast = 0.761, Connect. = 0.799 for dens.mod. cycle 3
<wt> = 0.300, Contrast = 0.795, Connect. = 0.805 for dens.mod. cycle 4
Pseudo-free CC = 65.99 %
<wt> = 0.300, Contrast = 0.817, Connect. = 0.810 for dens.mod. cycle 5
<wt> = 0.300, Contrast = 0.834, Connect. = 0.813 for dens.mod. cycle 6
<wt> = 0.300, Contrast = 0.844, Connect. = 0.816 for dens.mod. cycle 7
<wt> = 0.300, Contrast = 0.852, Connect. = 0.818 for dens.mod. cycle 8
<wt> = 0.300, Contrast = 0.856, Connect. = 0.820 for dens.mod. cycle 9
Pseudo-free CC = 70.07 %
<wt> = 0.300, Contrast = 0.859, Connect. = 0.821 for dens.mod. cycle 10
<wt> = 0.300, Contrast = 0.860, Connect. = 0.822 for dens.mod. cycle 11
<wt> = 0.300, Contrast = 0.861, Connect. = 0.822 for dens.mod. cycle 12
<wt> = 0.300, Contrast = 0.861, Connect. = 0.823 for dens.mod. cycle 13
<wt> = 0.300, Contrast = 0.861, Connect. = 0.823 for dens.mod. cycle 14
Pseudo-free CC = 70.84 %
<wt> = 0.300, Contrast = 0.860, Connect. = 0.824 for dens.mod. cycle 15
<wt> = 0.300, Contrast = 0.860, Connect. = 0.824 for dens.mod. cycle 16
<wt> = 0.300, Contrast = 0.859, Connect. = 0.824 for dens.mod. cycle 17
<wt> = 0.300, Contrast = 0.858, Connect. = 0.824 for dens.mod. cycle 18
<wt> = 0.300, Contrast = 0.857, Connect. = 0.824 for dens.mod. cycle 19
Pseudo-free CC = 70.93 %
<wt> = 0.300, Contrast = 0.856, Connect. = 0.824 for dens.mod. cycle 20
<wt> = 0.300, Contrast = 0.856, Connect. = 0.824 for dens.mod. cycle 21
<wt> = 0.300, Contrast = 0.855, Connect. = 0.824 for dens.mod. cycle 22
<wt> = 0.300, Contrast = 0.854, Connect. = 0.825 for dens.mod. cycle 23
<wt> = 0.300, Contrast = 0.853, Connect. = 0.824 for dens.mod. cycle 24
Pseudo-free CC = 70.85 %
<wt> = 0.300, Contrast = 0.853, Connect. = 0.824 for dens.mod. cycle 25
<wt> = 0.300, Contrast = 0.852, Connect. = 0.824 for dens.mod. cycle 26
<wt> = 0.300, Contrast = 0.851, Connect. = 0.825 for dens.mod. cycle 27
<wt> = 0.300, Contrast = 0.850, Connect. = 0.824 for dens.mod. cycle 28
<wt> = 0.300, Contrast = 0.850, Connect. = 0.824 for dens.mod. cycle 29
Pseudo-free CC = 70.69 %
<wt> = 0.300, Contrast = 0.849, Connect. = 0.824 for dens.mod. cycle 30
<wt> = 0.300, Contrast = 0.849, Connect. = 0.825 for dens.mod. cycle 31
<wt> = 0.300, Contrast = 0.848, Connect. = 0.824 for dens.mod. cycle 32
<wt> = 0.300, Contrast = 0.848, Connect. = 0.824 for dens.mod. cycle 33
<wt> = 0.300, Contrast = 0.847, Connect. = 0.824 for dens.mod. cycle 34
Pseudo-free CC = 70.51 %
<wt> = 0.300, Contrast = 0.847, Connect. = 0.824 for dens.mod. cycle 35
<wt> = 0.300, Contrast = 0.846, Connect. = 0.824 for dens.mod. cycle 36
<wt> = 0.300, Contrast = 0.846, Connect. = 0.824 for dens.mod. cycle 37
<wt> = 0.300, Contrast = 0.845, Connect. = 0.824 for dens.mod. cycle 38
<wt> = 0.300, Contrast = 0.845, Connect. = 0.824 for dens.mod. cycle 39
Pseudo-free CC = 70.35 %
<wt> = 0.300, Contrast = 0.844, Connect. = 0.824 for dens.mod. cycle 40
Estimated mean FOM and mapCC as a function of resolution
d    inf - 4.62 - 3.64 - 3.17 - 2.88 - 2.67 - 2.51 - 2.38 - 2.27 - 2.18 - 2.11
<FOM>  0.712  0.774  0.761  0.710  0.694  0.682  0.622  0.598  0.582  0.534
<mapCC> 0.841  0.923  0.941  0.927  0.920  0.926  0.926  0.915  0.877  0.853
N        4206  4227  4214  4135  4185  4207  4292  4406  4320  3702
Estimated mean FOM = 0.668  Pseudo-free CC = 70.35 %
Density (in map sigma units) at input heavy atom sites
  Site    x        y        z    occ*Z    density
    1  0.2273  0.7578  0.1190  34.0000    30.83
    2  0.1770  0.5343  0.2167  29.6922    29.13
    3  0.1568  0.6341  0.3057  27.3088    29.14
    4  0.3059  0.4523  0.1308  25.2552    23.34
    5  0.0287  0.8253  0.1396  20.5870    20.24
    6  0.0389  0.9744  0.0501  14.1270    19.44
Site    x      y      z  h(sig) near old  near new
  1  0.2276  0.7578  0.1189  30.8  1/0.04  8/17.51 10/19.34 2/19.52 5/21.94
  2  0.1568  0.6345  0.3049  29.3  3/0.11  8/3.01 3/15.74 1/19.52 7/22.22
  3  0.1767  0.5344  0.2160  29.3  2/0.10  2/15.74 8/16.49 4/19.41 1/26.90
  4  0.3059  0.4535  0.1297  23.7  4/0.19  3/19.41 9/26.54 6/26.81 6/28.31
  5  0.0280  0.8243  0.1410  20.6  5/0.23  6/19.72 9/21.55 7/21.87 1/21.94
  6  0.0383  0.9748  0.0492  19.5  6/0.15  9/2.58 9/15.62 6/15.91 5/19.72
  7  0.1847  0.9579  0.1793  -5.2  5/21.79  5/21.87 2/22.22 1/22.59 9/22.61
  8  0.1842  0.6442  0.3069  -4.9  3/3.02  2/3.01 3/16.49 1/17.51 10/22.77
  9  0.0430  0.9990  0.0523  -4.8  6/2.59  6/2.58 9/15.17 6/15.62 5/21.55
  10  0.3437  0.8355  0.0209  4.6  1/19.38  1/19.34 8/22.77 2/23.02 5/27.73
</pre>
At this point the structure is obviously solved, and we could use buccanneer or Arp/wArp to add side chains and the rest of the model. 3-fold NCS surely helps!
== Could we do better? ==
Yes, of course (as always). I can think of three things to try:
* an [[optimization]] round of running xds for the two datasets
* using a negative offset for STARTING_DOSE in XSCALE.INP, as documented in the [[XSCALE]] wiki article.
* adding the "secondparts" data assuming this is a longer wavelength
But this time we learn that one has to take special care of the data in particular when they were measured by someone else who does not tell us everything we need to know. Second, zero-dose extrapolation made the day.
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