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Re: [ccp4bb]: refine using merged MAD data of all 3 wavelength?
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What I did with a four wavelength set was to refine against the SHARP
output data (pre-DM) but including the experimental phase estimates (Use
'mlhl' target in CNS for example).
The SHARP output is a wavelength independent data set with no anomalous
differences (so no worries what f'/f" to use). You can say it is not a
real dataset but was just 'cooked up' by SHARP - but in fact it is a quick
way to use a nicely-weighted version of all the data you collected in your
MAD experiment - so it is 'experimental'.
This is only possible if you are using SHARP however - I don't think
MLPHARE can give you these estimates.
I notice that a number of published structures have been refined against
this SHARP output data.
On Wed, 11 Oct 2000, Phraenquex VD wrote:
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> *** CCP4 home page http://www.dl.ac.uk/CCP/CCP4/main.html ***
> I'd say this is a very good idea: if your crystal did not decay, and if
> you don't have a higher-resolution (native) dataset you'd prefer to use,
> merging all datasets for super-high redundancy can only improve matters.
> Not sure about the averaging f'/f" - do any programs actually use this?
> On Wed, 11 Oct 2000, Yong Xiong wrote:
> > Date: Wed, 11 Oct 2000 17:32:36 -0400 (EDT)
> > From: Yong Xiong <email@example.com>
> > To: firstname.lastname@example.org
> > Subject: [ccp4bb]: refine using merged MAD data of all 3 wavelength?
> > *** For details on how to be removed from this list visit the ***
> > *** CCP4 home page http://www.dl.ac.uk/CCP/CCP4/main.html ***
> > As title, I would like to know whether any one tried to use all 3 wavelength data merged/scaled
> > together for the refinement. I tried this on one structure and it appeared to improve the
> > refinement. I am not sure the theoretical/practical soundness of doing this. If the
> > crystal is stable, it should give a lot more redudency to the data and help the high resolution
> > bins. The anomalous/dispersion signals would be messed up but mostly they are not used in
> > refinement any way. We could even give an average f' and f" for the merged data, or could we? Any
> > comments?