I do think at times the Rfree is a bit of a sacred cow . At one level if
the maps look OK not much can be wrong..
Is the Ramachandran plot OK?

You dont say what the R factor is but does this mean there is a large
difference between the Rfactor and Rfree?

If you are using REFMAC look at the plots of  R factor and Rfree v
resolution? Is there a big divergence at some points? Could you have
included overloads? Are there icerings?

Then look at the plot of <Fos> v <Fcalc> v resolution/
Is the scaling procedure meaning these diverge in some regions?
Is there some strange effects at low resolution?

And so on and so on..
Eleanor



On Tue, 9 Oct 2018 at 19:31, Wim Burmeister <wim.burmeis...@ibs.fr> wrote:

> Hello,
> at that resolution, the refinement of anisotropic atomic B-factors is
> absolutely required, as is the modelisation of alternate conformations for
> surface residues. Optimize also the weight of different restraints (for
> exemple on B-factors) in order to get the lowest Rfree.
> Best
> Wim
>
> ------------------------------
> *De: *"Robbie Joosten" <robbie_joos...@hotmail.com>
> *À: *CCP4BB@JISCMAIL.AC.UK
> *Envoyé: *Mardi 9 Octobre 2018 20:02:17
> *Objet: *Re: [ccp4bb] Issue with high Rfree (0.25) for a high-resolution
> dataset (1.05 Ang)
>
> Hi Hugo,
>
> Perhaps you should play with your refinement strategy. Use a decent number
> of cycles and a sensible restraint weight (something that gives you rmsZ <
> 1.0 and good R-factors). Anisotropic B-factors are probably needed and make
> your model as complete as your maps allow.
>
> You could try pdb-redo to see if this can help you on your way.
>
> Cheers,
> Robbie
>
> On 9 Oct 2018 19:12, Guto Rhys <guto.r...@bristol.ac.uk> wrote:
>
> Hi all,
>
> I have a 1.05 Angstrom dataset that I was able to phase but the refined
> model only has an Rfree of approximately 0.25. The dataset includes 1800
> images and, as the crystal did not suffer significantly from radiation
> damage, comprises all 360 deg. Auto-processing pipelines at diamond light
> source all suggest I222. I have also indexed the data in iMOSFLM, which has
> the highest-symmetry Laue group that is least penalised of I422. Subsequent
> scaling and merging in AIMLESS strongly indicates that I222 is the likely
> space group (see below). I have ran the refined model through ZANUDA, which
> has similar R values to lower symmetry space groups (see below). The output
> from Phenix Xtriage does not find any specific crystal pathologies and if
> twinning is present it is very low (2 to 4%, see below). The difference map
> suggests that the model accounts for nearly all the density. Any ideas or
> direction would be greatly appreciated.
>
> Best,
> Guto
>
>
> AIMLESS Summary
>    Overall  InnerShell  OuterShell
> Low resolution limit                       27.75     27.75      1.07
> High resolution limit                       1.05      5.75      1.05
>
> Rmerge  (within I+/I-)                     0.050     0.078     0.466
> Rmerge  (all I+ and I-)                    0.051     0.080     0.536
> Rmeas (within I+/I-)                       0.055     0.086     0.591
> Rmeas (all I+ & I-)                        0.054     0.085     0.613
> Rpim (within I+/I-)                        0.023     0.034     0.359
> Rpim (all I+ & I-)                         0.017     0.028     0.288
> Rmerge in top intensity bin                0.049        -         -
> Total number of observations              107950       779      1972
> Total number unique                        11315        88       486
> Mean((I)/sd(I))                             19.7      46.2       1.8
> Mn(I) half-set correlation CC(1/2)         0.998     0.994     0.796
> Completeness                                99.1      99.2      90.4
> Multiplicity                                 9.5       8.9       4.1
>
> Anomalous completeness                      98.1     100.0      79.1
> Anomalous multiplicity                       5.0       6.4       2.2
> DelAnom correlation between half-sets     -0.067     0.286     0.097
> Mid-Slope of Anom Normal Probability       0.789       -         -
>
> Estimate of maximum resolution for significant anomalous signal =  1.14A,
> from CCanom >  0.15
>
> Estimates of resolution limits: overall
>    from half-dataset correlation CC(1/2) >  0.30: limit =  1.05A  ==
> maximum resolution
>    from Mn(I/sd) >  1.50:                         limit =  1.05A  ==
> maximum resolution
>    from Mn(I/sd) >  2.00:                         limit =  1.07A
>
> Estimates of resolution limits in reciprocal lattice directions:
>   Along h axis
>    from half-dataset correlation CC(1/2) >  0.30: limit =  1.06A
>    from Mn(I/sd) >  1.50:                         limit =  1.09A
>   Along k axis
>    from half-dataset correlation CC(1/2) >  0.30: limit =  1.11A
>    from Mn(I/sd) >  1.50:                         limit =  1.13A
>   Along l axis
>    from half-dataset correlation CC(1/2) >  0.30: limit =  1.05A  ==
> maximum resolution
>    from Mn(I/sd) >  1.50:                         limit =  1.05A
>
> Anisotropic deltaB (i.e. range of principal components), A^2:  6.40
>
> Average unit cell:   29.12   29.26   55.50   90.00   90.00   90.00
> Space group: I 2 2 2
> Average mosaicity:   0.36
>
> AIMLESS Laue Group prediction
>
>    Laue Group        Lklhd   NetZc  Zc+   Zc-    CC    CC-  Rmeas   R-
> Delta ReindexOperator
>
> = 1    I m m m  ***  0.987   6.25  9.19  2.94   0.92  0.29   0.07  0.49
> 0.0 [h,k,l]
>   2  I 1 2/m 1       0.004   4.36  9.32  4.96   0.93  0.50   0.07  0.30
> 0.0 [-h,-k,l]
>   3  I 1 2/m 1       0.004   4.14  9.24  5.10   0.92  0.51   0.07  0.30
> 0.0 [k,-h,l]
>   4  I 1 2/m 1       0.004   4.05  9.23  5.18   0.92  0.52   0.06  0.31
> 0.0 [h,-l,k]
>   5  I 4/m m m       0.000   6.35  6.35  0.00   0.64  0.00   0.22  0.00
> 0.3 [h,k,l]
>   6      I 4/m       0.000   0.90  6.83  5.93   0.68  0.59   0.17  0.26
> 0.3 [h,k,l]
>   7       P -1       0.000   3.69  9.36  5.67   0.94  0.57   0.06  0.26
> 0.0 [-h,k,1/2h-1/2k-1/2l]
>   8  I 1 2/m 1       0.000   0.08  6.40  6.33   0.64  0.63   0.23  0.22
> 0.3 [-1/2h+1/2k-1/2l,-h-k,-1/2h+1/2k+1/2l]
>   9    F m m m       0.000  -0.43  6.17  6.60   0.62  0.66   0.24  0.20
> 0.3 [h+k,-h+k,l]
> 10  I 1 2/m 1       0.000   0.75  6.89  6.14   0.69  0.61   0.22  0.22
> 0.3 [-1/2h-1/2k-1/2l,h-k,-1/2h-1/2k+1/2l]
>
>
> Xtriage Summary
>
> Twinning and intensity statistics summary (acentric data):
>
> Statistics independent of twin laws
>   <I^2>/<I>^2 : 2.126  (untwinned: 2.0, perfect twin: 1.5)
>   <F>^2/<F^2> : 0.774  (untwinned: 0.785, perfect twin: 0.885)
>   <|E^2-1|>   : 0.761  (untwinned: 0.736, perfect twin: 0.541)
>   <|L|>, <L^2>: 0.490, 0.323
>   Multivariate Z score L-test: 1.303
>
> 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_abs obs. | R_abs calc. | Britton alpha | H alpha |
> ML alpha |
> -----------------------------------------------------------------------------------
>
> | k,h,-l   |  PM  | 0.469      | 0.478       | 0.016         | 0.041   |
> 0.022    |
> -----------------------------------------------------------------------------------
>
>
> Patterson analyses
>   - Largest peak height   : 13.667
>    (corresponding p value : 0.04780)
>
>
> The largest off-origin peak in the Patterson function is 13.67% of the
> height of the origin peak. No significant pseudotranslation is detected.
>
> The results of the L-test indicate that the intensity statistics
> behave as expected. No twinning is suspected.
>
> Zanuda output
>
>    Step 2.
>    Refinements in subgroups.
>    There are 5 subgroups to test.
>
>    current time:                                        Jan 08 16:20 GMT
>    expected end of job:                                 Jan 08 16:28 GMT
>
>    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>    | >>   5   | I 2 2 2    |  0.0005  |    --    |    --    |    --    |
>    ---------------------------------------------------------------------
>    |      1   | P 1        |  0.0731  |  0.3242  |  0.2842  |  0.2768  |
>    |      2   | C 1 2 1    |  0.0755  |  0.3796  |  0.2899  |  0.2799  |
>    |      3   | C 1 2 1    |  0.0727  |  0.3385  |  0.2909  |  0.2806  |
>    |      4   | C 1 2 1    |  0.0729  |  0.3398  |  0.2900  |  0.2813  |
>    |      5   | I 2 2 2    |  0.0707  |  0.3582  |  0.2976  |  0.2802  |
>    ---------------------------------------------------------------------
>    | <<   1   | P 1        |  0.0731  |  0.3242  |  0.2842  |  0.2768  |
>    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
>    Step 3.
>    Refinement of the best model.
>    Candidate symmetry elements are added one by one.
>
>    current time:                                        Jan 08 16:25 GMT
>    expected end of job:                                 Jan 08 16:28 GMT
>
>    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>    | >>   1   | P 1        |  0.0731  |  0.3242  |  0.2842  |  0.2768  |
>    ---------------------------------------------------------------------
>    |      1   | P 1        |  0.0730  |  0.3243  |  0.2842  |  0.2768  |
>    |      4   | C 1 2 1    |  0.0751  |    --    |  0.2896  |  0.2826  |
>    |      5   | I 2 2 2    |  0.0737  |    --    |  0.2970  |  0.2801  |
>    ---------------------------------------------------------------------
>    | <<   5   | I 2 2 2    |  0.0737  |    --    |  0.2970  |  0.2801  |
>    ---------------------------------------------------------------------
>
>    R-factor in the original subgroup is (almost) the best.
>    The original spacegroup assignment seems to be correct.
>
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