THis is always a difficult decision. More commonly I have worried about the
best resolution cut off.
Judge on high Rmerges?  Keep the overall R value acceptably low?? etc etc..

I always come back to the map - is it sharper with the extra data? Is more
unmodelled solvent showing up? etc..
But these decisions cannot be easily assessed by anyone else so I just keep
as much information as I can , down to I/SigI ~ 1 , and let the R value
climb..
However in the end it is a personal decision..

I wonder if the COOT validation of density fit could be used as a numerical
tool..
What do you think Paul?
Eleanor

On Thu, 28 Oct 2021 at 08:46, Clemens Vonrhein <vonrh...@globalphasing.com>
wrote:

> Hi,
>
> An alternative is to assess the quality of the phases (which are the
> result of the model refined against the data) via radiation-damage
> maps (what we call "F(early)-F(late) maps"). Assuming you collected
> high enough multiplicity data, autoPROC (which is what you used for
> processing, if I understood you right) would create those extra
> amplitudes in the output MTZ files if possible. Refinement with BUSTER
> would automatically compute and analyse those raditation damage maps
> for "interesting" sites, like decarboxylation, Cys-SG/Met-SD damage
> etc. You could then assume that the cleanest/strongest indications of
> such radiation damage arise when using the best phases (i.e. best
> model - as a result of best data to refine against).
>
> For examples see e.g.
>
>
> https://www.globalphasing.com/buster/wiki/index.cgi?Covid19ReRefineRadDam
>   https://www.globalphasing.com/buster/wiki/index.cgi?Covid19ReRefine5VZR
>
> and also
>
>   https://www.mail-archive.com/ccp4bb@jiscmail.ac.uk/msg49077.html
>
> This would all be scriptable I guess.
>
> Cheers
>
> Clemens
>
> PS: there are only really two files coming out of autoPROC, namely
>     truncate-unique.mtz (traditional, isotropic analysis) and
>     staraniso_alldata-unique.mtz (anisotropic analysis via STARANISO).
>
>
> On Wed, Oct 27, 2021 at 12:58:53PM -0500, Murpholino Peligro wrote:
> > So... how can I get a metric for noise in electron density maps?
> > First thing that occurred to me
> > open in coot and do validate->difference map peaks-> get number of peaks
> > (is this scriptable?)
> > or
> > Second
> > phenix.real_space_correlation detail=residue file.pdb file.mtz
> >
> >
> > Thanks again
> >
> > El mié, 27 de oct. de 2021 a la(s) 10:52, vincent Chaptal (
> > vincent.chap...@ibcp.fr) escribió:
> >
> > > Hi,
> > >
> > > It's hard to find a single metric...
> > > Ultimately, the quality of electron density maps, lower noise in fo-fc?
> > >
> > > Best
> > > Vincent
> > >
> > > Le 27/10/2021 à 17:44, Murpholino Peligro a écrit :
> > >
> > > Let's say I ran autoproc with different combinations of options for a
> > > specific dataset, producing dozens of different (but not so different)
> mtz
> > > files...
> > > Then I ran phenix.refine with the same options for the same structure
> but
> > > with all my mtz zoo
> > > What would be the best metric to say "hey this combo works the best!"?
> > > R-free?
> > > Thanks
> > >
> > > M. Peligro
> > >
> > > ------------------------------
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> > >
> > > --
> > >
> > > Vincent Chaptal, PhD
> > >
> > > Director of GdR APPICOM
> > >
> > > Drug Resistance and Membrane Proteins Lab
> > >
> > >
> > > MMSB -UMR5086
> > >
> > > 7 passage du Vercors
> > >
> > > 69007 LYON
> > >
> > > FRANCE
> > >
> > > +33 4 37 65 29 01
> > >
> > > http://www.appicom.cnrs.fr
> > >
> > > http://mmsb.cnrs.fr/en/
> > >
> > >
> > >
> > > ------------------------------
> > >
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> --
>
> *--------------------------------------------------------------
> * Clemens Vonrhein, Ph.D.     vonrhein AT GlobalPhasing DOT com
> * Global Phasing Ltd., Sheraton House, Castle Park
> * Cambridge CB3 0AX, UK                   www.globalphasing.com
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