I agree with Dale. Tools like MolProbity are not the right approach to 
validating a structure prediction. To understand why, just consider that all 
you need to do to get a perfect MolProbity score is predict every structure as 
a single long alpha helix with ideal rotamers, with a kink at each proline. 

To validate a predicted structure will require a completely different toolset - 
one that I’m not sure fully exists yet. 

— Tristan 

> On 20 Dec 2021, at 18:47, Dale Tronrud <de...@daletronrud.com> wrote:
> 
>   I don't see any reason to believe that software designed to validate 
> crystallographic or NMR models would have any utility validating AlphaFold 
> predicted models.  Doesn't the prediction software already ensure that all 
> the indicators used by Molprobity are obeyed?  I'm afraid that the tools to 
> validate any new technique must be designed specifically for that technique. 
> (And when they become available they will be useless for validating 
> crystallographic models!)
> 
> Dale E. Tronrud
> 
>> On 12/20/2021 10:28 AM, Nicholas Clark wrote:
>> The Molprobity server can be run online and only requires the coordinates in 
>> PDB format: http://molprobity.biochem.duke.edu/ 
>> <http://molprobity.biochem.duke.edu/>.
>> Best,
>> Nick Clark
>> On Mon, Dec 20, 2021 at 11:10 AM Reza Khayat <rkha...@ccny.cuny.edu 
>> <mailto:rkha...@ccny.cuny.edu>> 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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>> -- 
>> Nicholas D. Clark
>> PhD Candidate
>> Malkowski Lab
>> University at Buffalo
>> Department of Structural Biology
>> Jacob's School of Medicine & Biomedical Sciences
>> 955 Main Street, RM 5130
>> Buffalo, NY 14203
>> Cell: 716-830-1908
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