Dear Ed,
Thankyou for this.
Indeed I have not pushed into the domain of <I/sigI> as low as 0.4 or CC1/2 as 
low as  0.012. 
So, I do not have an answer to your query at these extremes.
But I concede I am duly corrected by your example and indeed my email did not 
tabulate specifically how far one could investigate the plateau of DPI and 
certainly I was not considering such an extreme as you have investigated.
Best wishes,
Yours sincerely,
John

Prof John R Helliwell DSc
 
 

On 15 Jun 2013, at 15:31, Ed Pozharski <epozh...@umaryland.edu> wrote:

> On 06/14/2013 07:00 AM, John R Helliwell wrote:
>> Alternatively, at poorer resolutions than that, you can monitor if the 
>> Cruickshank-Blow Diffraction Precision Index (DPI) improves or not as more 
>> data are steadily added to your model refinements.
> Dear John,
> 
> unfortunately the behavior of DPIfree is less than satisfactory here - in a 
> couple of cases I looked at it just steadily improves with resolution.  
> Example I have in front of me right now takes resolution down from 2.0A to 
> 1.55A, and DPIfree goes down from ~0.17A to 0.09A at almost constant pace 
> (slows down from 0.021 A/0.1A to 0.017 A/0.1A around 1.75A).
> 
> Notice that in this specific case I/sigI at 1.55A is ~0.4 and CC(1/2)~0.012 
> (even this non-repentant big-endian couldn't argue there is good signal 
> there).
> 
> DPIfree is essentially proportional to Rfree * d^(2.5)  (this is assuming 
> that No~1/d^3, Na and completeness do not change).  To keep up with 
> resolution changes, Rfree would have to go up ~1.9 times, and obviously that 
> is not going to happen no matter how much weak data I throw in.
> 
> The maximum-likelihood e.s.u. reported by Refmac makes more sense in this 
> particular case as it clearly slows down big time around 1.77A (see 
> https://plus.google.com/photos/113111298819619451614/albums/5889708830403779217).
>  Coincidentally, Rfree also starts going up rapidly around the same 
> resolution.  If anyone is curious what's I/sigI is at the "breaking point" 
> it's ~1.5 and CC(1/2)~0.6.  And to bash Rmerge a little more, it's 112%.
> 
> So there are two questions I am very much interested in here.
> 
> a) Why is DPIfree so bad at this?  Can we even believe it given it's erratic 
> behavior in this scenario?
> 
> b) I would normally set up a simple data mining project to see how common 
> this ML_esu behavior is, but there is no easily accessible source of data 
> processed to beyond I/sigI=2, let alone I/sigI=1 (are structural genomics 
> folks reading this and do they maybe have such data to mine?).  I can look 
> into all of my own datasets, but that would be a biased selection of several 
> crystal forms.  Perhaps others have looked into this too, and what are your 
> observations? Or maybe you have a dataset processed way beyond I/sigI=1 and 
> are willing to either share it with me together with a final model or run 
> refinement at a bunch of different resolutions and report the result (I can 
> provide bash scripts as needed).
> 
> Cheers,
> 
> Ed.
> 
> -- 
> Oh, suddenly throwing a giraffe into a volcano to make water is crazy?
>                                                Julian, King of Lemurs
> 

Reply via email to