Hi,
Probably a stupid question. 
Could you multiply a, b and c cell dimensions by 2 or 3 (to give 8 or 27 
structures) and restrain well defined parts of structure to be ‘identical’ ? To 
give you a more NMR like chemically sensible ensemble of structures?
Ben


> On 18 Mar 2023, at 12:04, Helen Ginn <ccp...@hginn.co.uk> wrote:
> 
> Models for crystallography have two purposes: refinement and interpretation. 
> Here these two purposes are in conflict. Neither case is handled well by 
> either trim or not trim scenario, but trimming results in a deficit for 
> refinement and not-trimming results in a deficit for interpretation.
> 
> Our computational tools are not “fixed” in the same way that the standard 
> amino acids are “fixed” or your government’s bureaucracy pathways are 
> “fixed”. They are open for debate and for adjustments. This is a fine example 
> where it may be more productive to discuss the options for making changes to 
> the model itself or its representation, to better account for awkward 
> situations such as these. Otherwise we are left figuring out the best 
> imperfect way to use an imperfect tool (as all tools are, to varying 
> degrees!), which isn’t satisfying for enough people, enough of the time.
> 
> I now appreciate the hypocrisy in the argument “do not trim, but also don’t 
> model disordered regions”, even though I’d be keen to avoid trimming. This 
> discussion has therefore softened my own viewpoint.
> 
> My refinement models (as implemented in Vagabond) do away with the concept of 
> B factors precisely for the anguish it causes here, and refines a 
> distribution of protein conformations which is sampled to generate an 
> ensemble. By describing the conformations through the torsion angles that 
> comprise the protein, modelling flexibility of a disordered lysine is 
> comparatively trivial, and indeed modelling all possible conformations of a 
> disordered loop becomes feasible. Lysines end up looking like a frayed end of 
> a rope. Each conformation can produce its own solvent mask, which can be 
> summed together to produce a blurring of density that matches what you would 
> expect to see in the crystal.
> 
> In my experience this doesn’t drop the R factors as much as you’d assume, 
> because blurred out protein density does look very much like solvent, but it 
> vastly improves the interpretability of the model. This also better models 
> the boundary between the atoms you would trim and those you’d leave 
> untrimmed, by avoiding such a binary distinction. No fear of trimming and 
> pushing those errors unseen into the rest of the structure. No fear of 
> leaving atoms in with an inadequate B factor model that cannot capture the 
> nature of the disorder.
> 
> Vagabond is undergoing a heavy rewrite though, and is not yet ready for human 
> consumption. Its first iteration worked on single-dataset-single-model 
> refinement, which handled disordered side chains well enough, with no need to 
> decide to exclude atoms. The heart of the issue lies in main chain 
> flexibility, and this must be handled correctly, for reasons of 
> interpretability and elucidating the biological impact. This model isn’t 
> perfect either, and necessitates its own compromises - but will provide 
> another tool in the structural biology arsenal.
> 
> —-
> 
> Dr Helen Ginn
> Group leader, DESY
> Hamburg Advanced Research Centre for Bioorganic Chemistry (HARBOR)
> Luruper Chaussee 149
> 22607 Hamburg
> 
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