Thanks! Don’t know why I couldn’t find them…

Randy

> On 23 Jun 2025, at 16:38, Gerard Bricogne <[email protected]> wrote:
>
> Dear Randy,
>
>     Might it be these?
>
> https://doi.org/10.1107/S0907444997013875
>
> https://doi.org/10.1107/S0907444999016868
>
>
>     Best wishes,
>
>        Gerard
>
> --
> On Mon, Jun 23, 2025 at 03:33:36PM +0000, Randy John Read wrote:
>> Hi,
>>
>> I think it was Ian Tickle who worked out the statistical error in R-free 
>> that arises from taking different random samples, though I can’t track down 
>> the publication quickly. Anyway, the take-home from this is that you don’t 
>> expect all free sets to give the same R-free, and you shouldn’t 
>> over-interpret small differences in R-free.
>>
>> Does anyone have the citation for this?
>>
>> Best wishes,
>>
>> Randy
>>
>>> On 23 Jun 2025, at 15:55, Oganesyan, Vaheh 
>>> <[email protected]> wrote:
>>>
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>>> div.WordSection1 {page:WordSection1;} --> Hi all,
>>> I’ve spent some time going through different flags for free reflections for 
>>> (somewhat stupid) reason to get lower Rfree. I made sure all different 
>>> flags were used only for each of sets of refinement. I wanted to satisfy my 
>>> inner belief that it doesn’t matter which flag is used (between 0 and 19). 
>>> To be short: I failed.
>>> Free reflections have been chosen “randomly”, no suspicion there. However, 
>>> there was clear difference at the end. The difference was about 2-3% 
>>> difference in Rfree value. This tells me that the randomness has some sort 
>>> of rule, which makes “random” choice not so random. Having found this I 
>>> also tried to see “a rule” that breaks this randomness, like even numbers, 
>>> odds, etc. I did not. Because this was only on few cases I won’t even try 
>>> to connect it to # of molecules per AU, or SG. For each structure (I tried 
>>> this for 2-3 structures about 10 years ago) it was a different flag.
>>> I’m not sure if DCC also is looking through different flags, but at the end 
>>> it finds the best, making these exercises unnecessary.
>>> Sorry, cannot present a case. Was too long ago.
>>> Vaheh Oganesyan, Ph.D.<image001.png>R&D | Biologics Engineering
>>> One Medimmune Way, Gaithersburg, MD 20878
>>> T:  301-398-5851
>>> [email protected]
>>>    From: CCP4 bulletin board <[email protected]> On Behalf Of Randy 
>>> John Read
>>> Sent: Monday, June 23, 2025 10:29 AM
>>> To: [email protected]
>>> Subject: Re: [ccp4bb] free R in shells
>>> Hi Ben,
>>>
>>> I would be very interested if you have a case where it makes a difference 
>>> to do this. At one point I was convinced that it had been important when we 
>>> were working on the structure of a Shiga-like toxin bound to trisaccharide 
>>> (1bos), with four pentamers in the asymmetric unit. However, Pavel Afonine 
>>> challenged me to show that the free set was less biased when chosen in 
>>> shells than when chosen randomly, and even in that relatively extreme case 
>>> I couldn’t see evidence of it. So it’s probably not worth the bother. Also, 
>>> if you select the free set randomly, it’s distributed over the same 
>>> resolutions as the working data, which arguably is important when you’re 
>>> using it to calibrate the sigma(A) estimates for likelihood targets.
>>>
>>> Best wishes,
>>>
>>> Randy
>>>
>>>> On 23 Jun 2025, at 12:35, Ben Bax <[email protected]> wrote:
>>>>
>>>> Hi,
>>>> How do you select R-free in shells with CCP4?
>>>> Thanks, Ben Bax
>>>>
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>>>
>>> -----
>>> Randy J. Read
>>> Department of Haematology, University of Cambridge
>>> Cambridge Institute for Medical Research Tel: +44 1223 336500
>>> The Keith Peters Building
>>> Hills Road E-mail: [email protected]
>>> Cambridge CB2 0XY, U.K. www-structmed.cimr.cam.ac.uk
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>>
>> -----
>> Randy J. Read
>> Department of Haematology, University of Cambridge
>> Cambridge Institute for Medical Research     Tel: +44 1223 336500
>> The Keith Peters Building
>> Hills Road                                                       E-mail: 
>> [email protected]
>> Cambridge CB2 0XY, U.K.                              
>> www-structmed.cimr.cam.ac.uk
>>
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-----
Randy J. Read
Department of Haematology, University of Cambridge
Cambridge Institute for Medical Research     Tel: +44 1223 336500
The Keith Peters Building
Hills Road                                                       E-mail: 
[email protected]
Cambridge CB2 0XY, U.K.                              
www-structmed.cimr.cam.ac.uk


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