Are downstream users of models with poorly resolved regions more likely to
spot them if they have huge B-factors or zero occupancy? If the answer is
'neither', then perhaps we need to develop a different solution.

On Fri, 10 Mar 2023 at 16:33, Goldman, Adrian <adrian.gold...@helsinki.fi>
wrote:

> Maybe simplest just to trim it back. I do worry that the presence of a
> wrong conformation will lead to inaccurate vdw clashes that could
> negatively affect other atoms.
>
> Sent from my iPhone
>
> > On 10 Mar 2023, at 18:25, Phil Jeffrey <pjeff...@princeton.edu> wrote:
> >
> > On 3/10/23 4:05 AM, Julia Griese wrote:
> >> Hi all,
> >> My impression has been that the most common approach these days is to
> “let the B-factors take care of it”, but I might be wrong. Maybe it’s time
> to run another poll?
> >> Personally, I call any other approach R-factor cosmetics. The goal in
> model building is not to achieve the lowest possible R-factors, it’s to
> build the most physically meaningful, most likely to be correct, model.
> >
> > And I could call your approach "model cosmetics".
> >
> > If you can't see the side-chain, you don't know where it is and you
> probably don't even know where the centroid of the distribution is. Only in
> the case of very short side-chains with few rotamers can you make a
> reasonable volume approximation to where the side-chain is and "let the
> B-factors" smear out the density to cover a range of the projected
> conformations.
> >
> > For longer side-chains, if you put it in a single conformation, you are
> very likely NOT coming close to correctly modeling the actual distribution
> of the conformations.  So let's circle back on "most likely to be correct
> model" and ask what we *actually* know about where the atoms are.
> >
> > Put your disordered Arg in with 10 alternate conformations, each with a
> refined relative occupancy, and then let the B-factors smear that lot out,
> and that's your better model.
> >
> > Phil Jeffrey
> > Princeton
> >
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-- 
Dr Jon Agirre [image: A button with "Hear my name" text for name playback
in email signature]  <https://www.name-coach.com/jon-agirre>
Royal Society University Research Fellow
CCP4 WG2 co-chair and ED&I champion | instruct-ERIC representative @
3D-Bioinfo (Elixir)
York Structural Biology Laboratory, Department of Chemistry
University of York, Heslington, YO10 5DD, York, UK
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