Thank you all for your thoughtful answers.

I'll stick to the crystallographic data and model as much as I can with
reasonable occupancy and B factors, even if the result is a truncated model.

I don't believe in the zero occupancy trick either. I just thought the PDB
was more flexible these days, since the community of structural biologists
seems to have accepted the highly accurate and highly imprecise coordinates
of AF-generated noodle-like loops in the UniProt database.

It sounds like the PDB-DEV database is the right place to deposit those
hybrid models I had in mind, and leave the genuine crystallographic models
for the PDB.

Best wishes,
Javier

On Sun, Jul 28, 2024 at 2:52 PM Guillaume Gaullier <
guillaume.gaull...@kemi.uu.se> wrote:

> Hello Javier,
>
> Placing atoms implies that you know they are present somewhere (possibly
> with some uncertainty on exactly where), but setting their occupancies to
> zero implies that you know they are nowhere at all. This is a paradox.
>
> I think atoms with zero occupancy make no sense in a final deposited model
> (they could be useful as a working intermediate to exclude the bulk solvent
> model, but this is unrelated to what you describe).
> So in this particular case, partial occupancies only make sense for
> multiple conformations (and should add up to 1), as Pavel describes.
>
> If you can’t resolve more than one conformation, maybe a better approach
> is to fix the coordinates to what AlphaFold suggested (which is often
> reasonable, but check their pLDDT to assess this) and refine to let the
> B-factors of these atoms rise. This will convey the large uncertainty on
> their positions. I think it is a valid approach because you know these
> residues are there somewhere (in other words, to me you would need evidence
> of their absence to justify truncating these loops: SDS-PAGE showing that
> the protein is cleaved, for example).
>
> I hope this helps,
>
> Guillaume
>
> On 28 Jul 2024, at 17:32, Pavel Afonine <pafon...@gmail.com> wrote:
>
> 
>
> Javier,
>
> Flexible loops may be better modeled with ensembles of N models, meaning
> the occupancy of each-one would be 1/N, and the map contours to visualize
> them should be chosen as 1/N sigma (not 1 sigma). While model prediction
> tools such as AlphaFold are helpful, they don't suddenly lift the
> requirement for the atomic model you release to the world to fit the
> experimental data! With this premise in mind, the approaches to validate
> your model geometry and model-to-data fit quality have not changed before
> and after the AlphaFold era.
>
> Whether you truncate residue side chains/loops that you don't see or keep
> them with zero occupancy is a perennial question on this list that has been
> coming up for decades, and I have yet to see an answer that everyone agrees
> on!
>
> All the best,
> Pavel
>
>
> On Sun, Jul 28, 2024 at 8:13 AM Javier Gonzalez <bio...@gmail.com> wrote:
>
>>
>>
>> Dear CCP4bb,
>>
>> I'm refining the ~3A crystal structure of a big protein, largely composed
>> of alpha helices connected by poorly-resolved loops.
>> In the old pre-AlphaFold (AF) days I used to simply remove those
>> loops/regions with too high B factors, because there was little to none
>> density at 1 sigma in a 2Fo-Fc map.
>> However, considering that the quality of a readily-computable AF model is
>> comparable to a 3A experimental structure, and that the UniProt database is
>> flooded with noodle-like AF models, I was considering depositing a combined
>> model in the PDB.
>> Once R/Rfree reach a minimum for the model truncated in poorly resolved
>> loops, I would calculate an augmented model with AF calculated missing
>> regions (provided they have an acceptable pLDDT value), assign them zero
>> occupancy, and run only one cycle of refinement to calculate the formal
>> refinement statistics.
>> Would that be acceptable? Has anyone tried a similar approach?
>> I'd rather do that instead of depositing a counterintuitive model with
>> truncated regions that few people would find useful!!
>>
>> Thank you for your comments,
>>
>> Javier
>>
>> --
>> Dr. Javier M. González
>> Instituto de Bionanotecnología del NOA (INBIONATEC-CONICET)
>> Universidad Nacional de Santiago del Estero (UNSE)
>> RN9, Km 1125. Villa El Zanjón. (G4206XCP)
>> Santiago del Estero. Argentina
>> Tel: +54-(0385)-4238352
>> Email <bio...@gmail.com> Twitter <https://twitter.com/_biojmg>
>>
>>
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-- 
Dr. Javier M. González
Instituto de Bionanotecnología del NOA (INBIONATEC-CONICET)
Universidad Nacional de Santiago del Estero (UNSE)
RN9, Km 1125. Villa El Zanjón. (G4206XCP)
Santiago del Estero. Argentina
Tel: +54-(0385)-4238352
Email <bio...@gmail.com> Twitter <https://twitter.com/_biojmg>

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