Hi,

That is roughly correct.  Just set the lower and upper bound to 0.111
and set the number of increments for that parameter to 1.  Then it is
like a grid search without S2f being present, or being fixed to 0.111.

Regards,

Edward



On 6 April 2011 18:38, Tiago Pais <[email protected]> wrote:
> Hi Ed,
> Thanks for the quick reply.
> Let's see if I understand your suggestion. For example, the mf_multimodel.py
> sample script performs a grid search minimization using the grid_search
> function. So if I insert an array of upper and lower bounds for the
> parameters in the model I can constrain the interval of possible results,
> correct? If so, what is the sequence for the parameters in the array?
> TP
>
>
>
> -----Original Message-----
> From: Edward d'Auvergne [mailto:[email protected]]
> Sent: quarta-feira, 6 de Abril de 2011 17:13
> To: Tiago Pais
> Cc: [email protected]
> Subject: Re: How to set S2f to 0.111?
>
> Hi,
>
> Unfortunately, there is no ability to fix one of the model-free
> parameters during optimisation in relax yet.  This is something that
> has been requested one or two times over the years.  This is
> complicated as the gradients and Hessians (first and second partial
> derivates) need to be modified with this in mind, as the curvature of
> the space changes.  The fixed parameter is not part of the gradient or
> Hessian, and has to be removed.  This really complicates the target
> function, gradient, and Hessian and, due to the low demand, has not
> been implemented.
>
> Are you able to optimise this parameter and see if you get 0.111?  And
> are you able to extract the timescale of this process (the methyl
> group rotamer jumps)?  From memory, someone has optimsed these models
> using a grid search.  This coarse optimisation can be performed in
> relax as you are able to specify the fine details of the grid search.
> It is slower, but will do the job.  You could even implement a zooming
> grid search if your scripting skills are up to it to be able to
> relatively quickly find the parameters to high precision.  Anyway, I
> hope this info helps.
>
> Regards,
>
> Edward
>
>
>
>
>
> On 6 April 2011 17:39, Tiago Pais <[email protected]> wrote:
>> Hi,
>>
>> I would like to make an analysis of side-chain relaxation data with the
> S2f
>> parameter (in model 5) set to 0.111.
>>
>> Is it possible to do this with RELAX? How?
>>
>> Thanks in advance.
>>
>> Cheers
>>
>> Tiago P
>>
>>
>>
>> **************************************
>>
>> Tiago Pais, PhD. student
>>
>> Cell Physiology & NMR
>>
>> Instituto de Tecnologia Química e Biológica-Oeiras
>>
>>
>>
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