Hi Reza,

If you think about it this way... Validation is making sure that the model
makes sense, data make sense and model-to-data fit make sense, then the
answer to your question is obvious: in your case you do not have
experimental data (at least in a way we used to think of it) and so then of
these three validation items you only have one, which, for example, means
you don’t have to report things like R-factors or completeness in
high-resolution shell.

Really, the geometry of an alpha helix does not depend on how you
determined it: using X-rays or cryo-EM or something else! So, most (if not
all) model validation tools still apply.

Pavel

On Mon, Dec 20, 2021 at 8:10 AM Reza Khayat <[email protected]> wrote:

> Hi,
>
>
> Can anyone suggest how to validate a predicted structure? Something
> similar to wwPDB validation without the need for refinement statistics. I
> realize this is a strange question given that the geometry of the model is
> anticipated to be fine if the structure was predicted by a server that
> minimizes the geometry to improve its statistics. Nonetheless, the journal
> has asked me for such a report. Thanks.
>
>
> Best wishes,
>
> Reza
>
>
> Reza Khayat, PhD
> Associate Professor
> City College of New York
> Department of Chemistry and Biochemistry
> New York, NY 10031
>
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