Hi Charles,

I was able to set up weights during refinement but I have a doubt on how
they are implemented in the program.

Suppose I have a 2 member ensemble and their weights are assigned as
[0.9,0.1]. Now while computing the weighted averages of NOE's and RDC's the
individual members contribution is taken care.

But if you used the exact formulation for the force on atoms i.e :
E_experimental = K_experimental*(ExperimentalData - CalculatedData)**2.
Where calculatedData = w1 *A1 + w2 *A2. Where w1, w2 are the weights of
individual members and A1 and A2 are the computed values.

The first derivative of that [force] would have a component of w1 or w2  in
the equation. So the conformation with 0.1 weight would face less force
compared to the other conformation with 0.9.

Is there a way to circumvent this problem?
Thanks for your advice,
Santhosh


On Thu, Sep 5, 2013 at 9:15 AM, Charles Schwieters
<char...@schwieters.org>wrote:

>
> Hello Santhos--
>
> >
> > Thanks for the information. I have used rdc.setEnsWeights and
> > rdc.useSimEnsWeight = False and the same for NOE.
>
> If you call setEnsWeights, useSimEnsWeight should be set False.
>
>
> >
> > Is there any test script or documentation available for the weight
> > optimization facility? We are working on a similar idea and would like to
> > know XPLOR's capabilities.
>
> Documentation always lags a bit... The ensWeights and ensWeightsTools
> modules are documented here:
>
>   http://nmr.cit.nih.gov/xplor-nih/doc/current/python/ref/index.html
>
> and examples of its use can be found in these scripts in the Xplor-NIH
> distribution:
>
>   python/tests/sardcPotTest3.py
>   python/tests/solnXRayTest6.py
>
> Do note that neither the standard RDC nor the NOE terms yet support
> the weight optimization facility- but it is straightforward to add.
>
> A manuscript with implementation details will hopefully be accepted
> for publication soon, at which point I will forward it to you.
>
> best regards--
> Charles
>
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