Dear Nat and other interested colleagues,

when I played with H-bond restraints for secondary structures for the refinement of a 4.3 A structure (only a few weeks before they were introduced in phenix), I've made the following observation: at low resolution without H-bond restraints for secondary structures, the carbonyl groups of these secondary structures take the liberty within their globbish electron densities to deviate from their ideal H-bond conformation, resulting in a tight "belt" of outliers around the preferred Ramachandran regions, with typical deviations of only a few degrees. Introducing the additional H-bond restraints for maintaining secondary structures pulls these outlier carbonyl groups back into the preferred Ramachandran regions. In my case, the number of Ramachandran outliers was reduced to less than one half! Although, these H-bond restraints do not directly include information about allowed Ramachandran regions, the Ramachandran plot is actually affected by these restraints. Thus, at least in my opinion, the Ramachandran plot is then not a truly independent measure for model quality, anymore. The same holds true for all geometrical restraints, of course.

Best regards,

Dirk.

Am 22.09.11 22:49, schrieb Nat Echols:
On Thu, Sep 22, 2011 at 4:18 PM, Pete Meyer <pame...@mcw.edu <mailto:pame...@mcw.edu>> wrote:

    In short, the effective observation to parameter ratio improves by
    ~4%.  This seems like a relatively small improvement, especially
    if the trade-off is that Ramachandran statistics can't be used for
    validation anymore.  It also seems like the improvement would
    decrease with larger proteins (the number of additional parameters
    from adding a residues increase faster than the number of
    secondary structure restraints that residue could provide).


There is nothing preventing you from using Ramachandran statistics for validation if the secondary structure restraints only restrain the distances between hydrogen-bonded atoms. (This is what the implementation of S.S. restraints in phenix.refine does.) This actually contributes significantly fewer than two extra restraints per residue on average. And it doesn't actually have much of an effect on Ramachandran statistics; the number of outliers is slightly reduced, as is the clashscore. I suspect (although I haven't examined this in detail) that this is mostly keeping the ends of helices and sheets from unraveling, which is what they're most useful for. (The change in R-factors is negligible in our tests, although they sometimes reduce overfitting a little bit.)

This is an entirely different issue from Ramachandran (i.e. phi/psi) restraints, which should only be used as a last resort at low resolution at the end of refinement, and after fixing all outliers manually in Coot. (Restraining to a high-resolution model, if one is available, is a much better option.)

-Nat

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Dirk Kostrewa
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Department of Biochemistry
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