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On Aug 24, 2006, at 2:08 AM, Dirk Kostrewa wrote:

Here, I disagree: as you stated above, the model should make physically and chemically sense. If you allow a larger deviation from expected chemistry only because the lower resolution of the observed data doesn't allow for a more precise model, you will violate that physical/chemical reasoning. The underlying problem is, as Gerard has pointed out, that there is no good single model that would explain low resolution data. In principle, one should describe these data with multiple models, but this is prohibitive given the low amount of data. I also think that the best that one can currently do with low resolution data is to use a single model tightly restrained to expected chemistry together with TLS to describe at least partially the model's rigid body flexibility.


Here is a different way of describing the thought:

There is dynamic disorder of every atom, there is static disorder (i.e. atoms sit at slightly different positions within the unit cell), and there are crystal imperfections (missing/tilted unit cells, etc.). If we were to superimpose every unit cell and plot the position of every atom, we would find that the atomic positions have a wide spread. By calculating the geometric center for every unique atom, we get what one could call the "crystal structure". This is an average structure. If we now calculate bond lengths and angles, we will find that they vary a lot with respect to ideal values. However, this is physically and chemically perfectly reasonable, because we are looking at an AVERAGE structure, not the structure of a single molecule. Determination of the atomic positions would be driven by R/ Rfree, and the esd's and deviations of the geometric parameters from ideal values would tell us something about the degree of disorder. We could stop here and say, "This is a crystal structure. It is an average structure, and the rmsd's therefore look a bit funky. Live with it!" So, if we are fitting an average structure, we should have large target values for the rmsd's, i.e. we should allow for large deviations from ideality, particularly at low resolution, i.e. for badly disordered crystals.

But we don't stop there. We ask, "What is that single structure that is ideal in terms of geometry and that also best fits to the determined atomic positions?" Here, it does make sense to use a model that is indeed very tight if not even constrained in large parts, so that physical reality is observed. That reality should not be different at different resolutions. Refinement is driven by minimizing deviations from ideality; R factors will increase, but so what. So, if we are asking for a single structure, it should have should have small target values for the rmsd's, i.e. small deviations from ideality.

In practice, we are using a mixed approach, and that is what gets us into trouble, because we are comparing geometric parameters of some sort of average to ideal values. As long, however, as we know what "good" target values are, and as long as the rest of the scientific community doesn't get confused, we should have no problem. Sadly, neither seems to be the case.

Now, it is not at all prohibitive to calculate multiple structures, even at low resolution. Provided the number of fitted parameters was chosen appropriately, we could simply ask, "What are ALL the structures that are ideal in terms of geometry and that also best fit to the determined atomic positions?" Just like NMR people do it. We can simply run many independent refinements using simulated annealing, or some other randomizer, and calculate all structures that are within kT or some other criterion. We would not violate any data/parameter ratio rules, because we are not refining the structures simultaneously. Every single structure would still be ideal in terms of geometry, and all structures taken together as an ensemble would well describe the (averaged) crystal structure. We would then use rmsd's to describe deviations between all ideal structures that fit the data, just like in NMR, and get rid of the confusing rmsd's for bond lengths and angles.

Misconceptions?

------------------------------------------------------------------------ --------
Mischa Machius, PhD
Associate Professor
UT Southwestern Medical Center at Dallas
5323 Harry Hines Blvd.; ND10.214A
Dallas, TX 75390-8816; U.S.A.
Tel: +1 214 645 6381
Fax: +1 214 645 6353


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