Dear Randy,

On Fri, Oct 13, 2017 at 04:11:44PM +0100, Randy Read wrote:
> Just to add to this point.  The MR algorithms in Phaser are now able
> to make better use of intensity data, which is particularly
> important when you have any very weak data.  Having weak data can’t
> be avoided when you have serious anisotropy (or tNCS or a
> combination of the two).  Unfortunately, if you use amplitudes that
> have been through the French & Wilson (truncate) algorithm, the real
> variation in intensity is partially masked because the posterior
> amplitude values are computed on the prior assumption that all the
> reflections in a resolution shell have the same underlying intensity
> distribution. 
 
     Your "unfortunately" calsue may be the case with the UCLA server,
but your statement is not true about what the STARANISO server (or
STARANISO as invoked within autoPROC) does: as I already indicated in
a reply to you a few months ago in this BB, the version of TRUNCATE in
STARANISO applies the French & Wilson procedure with a prior Wilson
probability whose expectation value for the intensity is modulated by
the anisotropy of the dataset. This is clearly explained on the server
- see 

   http://staraniso.globalphasing.org/staraniso_about.html#step16


     With best wishes,
     
          Gerard.

--
> The UCLA server actually uses Phaser under the hood — what they add is to 
> turn the anisotropic B-values into suggested resolution limits in the 
> different directions.  However, I don’t think they allow you yet to submit 
> intensities, which would be better.
> 
> Best wishes,
> 
> Randy Read
> 
> -----
> Randy J. Read
> Department of Haematology, University of Cambridge
> Cambridge Institute for Medical Research    Tel: +44 1223 336500
> Wellcome Trust/MRC Building                         Fax: +44 1223 336827
> Hills Road                                                            E-mail: 
> rj...@cam.ac.uk
> Cambridge CB2 0XY, U.K.                               
> www-structmed.cimr.cam.ac.uk
> 
> > On 13 Oct 2017, at 10:29, vincent Chaptal <vincent.chap...@ibcp.fr> wrote:
> > 
> > Dear Gia and Paul, 
> > 
> > about anisotropy, one point to keep in mind is that it is not necessarily 
> > linked to the difference in resolution limits.
> > In fact I am at the moment working on one of these cases, with extremely 
> > large difference in resolution limits, but relatively low anisotropy. 
> > Anisotropy is more a deviation from "normal" intensity falloff as a 
> > function of resolution. There is a thin difference/relationship between the 
> > two concepts that I think is worth investigating. 
> > 
> > we have performed a statistical analysis of this phenomenon and the paper 
> > is in revision at the moment, but if you want to know where your anisotropy 
> > stands in respect to all the other PDBs out there, feel free to contact me 
> > off list. 
> > You mention MR: Phaser calculates the anisotropy so you can find the value 
> > in the first lines of the log. 
> > 
> > Staraniso or the UCLA server are good to test if you have anisotropy. 
> > Staraniso has a newer way of dealing with intensity falloff and accounting 
> > for it. 
> > 
> > All the best
> > Vincent
> > 
> > 
> > 
> > 
> > On 13/10/2017 10:58, Paul Miller wrote:
> >> I had a similar problem to what you describe. In my case the dataset was 
> >> severely anisotropic (2.6A, 3.4A, 4.6A in each axis). The R factors were 
> >> stuck similar to yours but the map looked good. I was told by someone with 
> >> a much better appreciation of the theory than myself that the anisotropy 
> >> was causing the problem.
> >> 
> >> It would be interesting to know from an expert in anisotropy e.g. the 
> >> creators of UCLA anisotropy server or Startaniso whether anisotropy can 
> >> cause this problem and whether there is any way around it.
> >> 
> >> Cheers, Paul
> >> 
> >> Paul Steven Miller (PhD)
> >> Postdoctoral Researcher
> >> University of Oxford
> >> Wellcome Trust Centre for Human Genetics
> >> Division of Structural Biology
> >> Roosevelt Drive
> >> Oxford
> >> OX3 7BN
> >> 
> >> 
> >> ---- Original message ----
> >> 
> >>> Date: Fri, 13 Oct 2017 10:30:22 +0200
> >>> From: CCP4 bulletin board 
> >>> <CCP4BB@JISCMAIL.AC.UK> (on behalf of Gianluca Cioci 
> >>> <gianluca.ci...@gmail.com>
> >>> )
> >>> Subject: [ccp4bb] High R/Rfree after MR  
> >>> To: 
> >>> CCP4BB@JISCMAIL.AC.UK
> >>> 
> >>> 
> >>>   Dear All,
> >>>   I am trying to refine a structure at 3.3A. Model has
> >>>   60% identity to the target. Maps look OK (for 3.3A)
> >>>   and rebuilding in Coot is relatively
> >>>   straightforward. However, after some rebuilding
> >>>   cycles the R factors are stuck at 0.37/0.39
> >>>   (REFMAC). 
> >>>   XTRIAGE tells me that everything is normal (no twin,
> >>>   98% completeness, R=3.5% in the low resolution bin),
> >>>   perhaps some anisotropy is present. 
> >>>   I have already refined 2 homologous structures at
> >>>   resolutions going from 3.2 to 3.8 and there were no
> >>>   problems (final R ~ 0.21/0.24). 
> >>>   Any advice ?
> >>>   Thanks,
> >>>   GIA
> >>> 
> > 
> > -- 
> > Vincent Chaptal, PhD
> > Institut de Biologie et Chimie des Protéines
> > Drug Resistance and Membrane Proteins Laboratory
> > 7 passage du Vercors 
> > 69007 LYON
> > FRANCE
> > +33 4 37 65 29 01
> > http://www.ibcp.fr

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