Extrapolating to the infinite, I wonder how super-resolution fits into
MD models or structure predictions?

Jacob

On Thu, Dec 23, 2010 at 5:04 PM, Gerard Bricogne <g...@globalphasing.com> wrote:
> Dear Bernhard,
>
>     I must say that I find the "super-resolution" claims in this paper a
> bit of a conjuring trick. If the final refined model has greater accuracy
> than one would expect from the resolution of the data it has been refined
> against, it is because that extra accuracy has been lifted from the higher
> resolution data that were used to refine the structure on the basis of which
> the elastic network restraints were created.
>
>     Should we then say that we achieve super-resolution whenever we refine
> a macromolecular structure using Engh & Huber restraints, because these
> enable us to achieve distance accuracies comparable with those in the small
> molecules structures in the Cambridge Structural Database?
>
>     Perhaps I have missed an essential point of this paper.
>
>
>     With best wishes,
>
>          Gerard.
>
> --
> On Thu, Dec 23, 2010 at 12:25:26PM -0800, Bernhard Rupp (Hofkristallrat a.D.) 
> wrote:
>> Oops I am outdated: Axel just emailed me that he describes an improved
>> coordinate estimate beyond the Rayleigh criterion in his recent paper
>>
>> Schroder GF, Levitt M, & Brunger AT (2010) Super-resolution biomolecular
>> crystallography with low-resolution data. Nature 464(7292), 1218-1222.
>>
>> For the deformable elastic network (DEN) refinement, see his ref 14
>>
>> Schroder GF, Brunger AT, & Levitt M (2007) Combining efficient
>> conformational sampling with a deformable elastic network model facilitates
>> structure refinement at low resolution. Structure 15(12), 1630-1641.
>>
>> BR
>
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-- 
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Jacob Pearson Keller
Northwestern University
Medical Scientist Training Program
cel: 773.608.9185
email: j-kell...@northwestern.edu
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