Dear Silvia, I look at those stats in the log file and worry about your
data processing. There are some wild outliers in the measurements Unit
cell: (129.59, 129.59, 118.84, 90, 90, 120)
Space group: P 61 2 2

>From the log file: outliers
Miller Index  :  Intensity  :  Sigma  :  Bin Mean Intensity
(1, 0, 47)    -28060.000      20530.000    2751.006
(2, -1, 47)    -5700.000      29950.000    2751.006
(13, 0, 45)    -35490.000      73370.000    2751.006
(18, -9, 44)    -35640.000      25140.000    2751.006
(18, 0, 43)    -7384.000      30540.000    2751.006
(20, 0, 42)    -13600.000      31490.000    2751.006
(41, 0, 18)    -27470.000      29190.000    2751.006
(42, -21, 27)    594.400      66990.000    2751.006
(3, -1, 47)    3046.000      44930.000    2751.006
(10, -2, 46)    9610.000      15160.000    2751.006
(11, -5, 46)    -42010.000      83820.000    2751.006
(15, -7, 45)    15970.000      34970.000    2751.006
(15, -6, 45)    64660.000      80650.000    2751.006
(16, -1, 44)    -3856.000      17690.000    2751.006
(17, -3, 44)    2622.000      25320.000    2751.006
(18, -8, 44)    22440.000      20130.000    2751.006
(18, -7, 44)    6847.000      28640.000    2751.006
(19, -2, 43)    -11360.000      88170.000    2751.006
(20, -5, 43)    81040.000      28430.000    2751.006
(21, -2, 42)    54000.000      77760.000    2751.006
(22, -5, 42)    22820.000      22740.000    2751.006
(23, -11, 42)    8416.000      20160.000    2751.006

etc - I note they all have L indices in the range 40-47 and very high
Sigmas. That makes me think there is an oddity..
Maybe you have processed your data to too high a resolution? Or is it very
anisotropic?
If you did the data reduction in CCP4I2 do you have the report? That would
analyse data quality..

Then I wouldn't worry too much about the Rfactors yet. They fell
satisfactorily in the refinement run.

COOT indicates there are quite a few corrections to be made, so the stats
will improve.
I don't worry too much about ramachandran plots at your stage..
I look for bad residues flagged by the COOT density fit.. and difference
map peaks which usually flag errors.
Are you using NCS restraints? At this resolution I think that is sensible.
Good luck Eleanor







On Thu, 6 Aug 2020 at 17:48, Paul Emsley <[email protected]> wrote:

> On 06/08/2020 16:39, Silvia Napolitano wrote:
> > Dear CCP4BB community,
>
>
> Dear Silvia,
>
>
> >
> > I am working on a crystal structure and I am a bit stuck with the
> refinement.
> >
> > To build the model I use Coot and to refine I use Phenix.
>
> I may be able to offer some insight about the first part.
>
>
> >
> > First, I noticed that the geometry analysis of exactly the same files is
> quite different between Coot 0.8 and Coot 0.9 (see PowerPoint attached,
> slides 1 and 2); isn't that a bit strange?
>
>
> The restraints generation and weighting was completely rewritten between
> 0.8 and 0.9. I suspect that what you are seeing is a result of using a
> more sensitive scaling. With some experience, I had noticed that the
> bars in the geometry analysis as a result of modern refinement were very
> often too small - in a non-useful way. So I scaled them up a bit. I
> haven't looked at this sort of side by side analysis for many years so
> your figures 1 & 2 were a bit of a surprise (that the scaling was so
> different), but on the whole I think that the current scaling is better.
>
>
> > Anyway, I tried to fix the Ramachandran outliers, geometry, and
> rotamers, obtaining, I think, a decent model (see PowerPoint attached,
> slides 3-5).
>
>
> Yes, they look good.
>
>
> >
> > However, when I input this model for refinement, the statistics and the
> geometry obtained at the end of the refinement cycles are very bad (see
> PowerPoint attached, slide 6).
>
> A useful data point here is how the same analysis looks at the start of
> (i.e. before) the refinement. Then one can distinguish between the cases
> of the refinement being given a good model and chewing it up and the the
> refinement being given what it thinks is a bad model and throwing up its
> (metaphorical) hands.
>
> Also, the underlying data which is used by Coot is different to that
> used by Phenix. The Ramachandran plot data is different, the CB
> distortion model is different, the non-bonded contact model is different
> - and the means to assess "bad contacts" is different.
>
> FWIW, the rotamer database is much the same (or, at least it used to be
> - I haven't updated it in about 10 years).
>
>
> Regards,
>
> Paul.
>
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