In addition to Ian's circular argument, there is the problem that 
the assumed distribution is only approximately valid, indeed in the
presence of (translational) NCS it could well be a poor approximation.
Refinement against suitably weighted measured intensities (which may of 
course be slightly negative because of experimental errors) avoids this 
problem but we still need F(obs) (and hence TRUNCATE) to calculate a map.

George 

Prof. George M. Sheldrick FRS
Dept. Structural Chemistry,
University of Goettingen,
Tammannstr. 4,
D37077 Goettingen, Germany
Tel. +49-551-39-3021 or -3068
Fax. +49-551-39-22582


On Fri, 22 Aug 2008, Ian Tickle wrote:

> This goes back to the issue I was raising, namely that <F>^2 (from the
> Truncate output mtz F column) is not the same as Imeas (in the IMEAN
> column) so you won't get exactly the same results from the Wilson plot,
> particularly at high res where the average I/sigma is low.  Since the
> plot actually demands F^2 then it seems to me that logically you need to
> use <F^2> which AFAICS is not possible using Truncate since it never
> calculates that.
> 
> This gets you into a circular argument because you need the correct
> Wilson plot results in order to perform the Bayes correction to the
> intensities (i.e. it gives you the prior distribution parameter),
> however you need the Bayes-corrected intensities to correctly calculate
> the Wilson plot!  Possibly iterating (from the initial Wilson plot
> results calculated using Imeas) will sort this out.
> 
> Also referring to an earlier response by Phil, Truncate clearly outputs
> the scaled Imeas, not <F^2>, in the IMEAN column as I had originally
> assumed, since the column has a -ve min value from mtzdump (<F^2> can
> never be < 0), and logically it's <F^2> not Imeas or <F> that you need
> for applications (such as MR and F^2 based refinement) which demand F^2.
> 
> Cheers
> 
> -- Ian
> 
> > -----Original Message-----
> > From: [EMAIL PROTECTED] 
> > [mailto:[EMAIL PROTECTED] On Behalf Of Eleanor Dodson
> > Sent: 22 August 2008 14:16
> > To: [EMAIL PROTECTED]
> > Cc: [email protected]; [EMAIL PROTECTED]
> > Subject: Re: Wilson plot from truncated.mtz
> > 
> > rerun truncate with input amplitudes..
> > eleanor
> > 
> > James Pauff wrote:
> > > If I've lost my SCALA MTZ, and have only the truncated.mtz 
> > for my dataset, which program is the quickest means of 
> > obtaining a Wilson plot?
> > >
> > > Thank you again,
> > > Jim
> > >
> > >
> > > --- On Wed, 8/20/08, Eleanor Dodson <[EMAIL PROTECTED]> wrote:
> > >
> > >   
> > >> From: Eleanor Dodson <[EMAIL PROTECTED]>
> > >> Subject: Re: [ccp4bb] Lower completeness, decent R 
> > factors, but low B factor...
> > >> To: [email protected]
> > >> Date: Wednesday, August 20, 2008, 4:30 AM
> > >> James Pauff wrote:
> > >>     
> > >>> Hello all,
> > >>>
> > >>> I have a refined structure at 2.6 angstroms that at
> > >>>       
> > >> about 73% completeness at this resolution.  The I/sigma is
> > >> about 2.0 at 2.6 angstroms, and the omit density for my
> > >> ligands is great contoured at 3.0sigma.  My Rcryst is 19 or
> > >> so and the Rfree is 24.5 or so.
> > >>     
> > >>> HOWEVER, my mean B value is 13.9, whereas my other 2
> > >>>       
> > >> structures (at 2.2 and 2.3 angstroms, same protein, >95%
> > >> completeness) have mean B values of 22+.  Any suggestions as
> > >> to what is going on here?  I'm having trouble explaining
> > >> this.
> > >>     
> > >>> Thank you,
> > >>> Jim
> > >>>
> > >>>
> > >>>       
> > >>>
> > >>>
> > >>>   
> > >>>       
> > >> Have you used TLS - listed B factors will then be given
> > >> relative to the 
> > >> TLS parameters. You need to run tLSANL to get a more
> > >> realistic value.
> > >> Eleanor
> > >>
> > >>
> > >> But in fact temperature factors are rather harder to
> > >> estimate at lower 
> > >> resolutions than higher. Look at your <Fo> and
> > >> <Fc> curves v resolution 
> > >> ( part of a REFMAC loggraph) and you can see that sometimes
> > >> the overall 
> > >> scaling struggles to get a reasonable fit..
> > >>     
> > >
> > >
> > >       
> > >
> > >
> > >   
> > 
> > 
> 
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