Hi Paul,

For the literature data, which paper did you choose?  Are you asking
Dmitry Korzhnev about his 2004 JACS paper
(http://dx.doi.org/10.1021/ja049968b)?  Having both the base data,
ideally in peak list form, together with the fitted parameters or
original parameters for simulated data would be great.  I would like
to create a relax system test which analyses the SQ + MQ CPMG data
simultaneously, and then I would write the code to make the test pass.

Cheers,

Edward



On 4 September 2013 20:30, Paul Schanda <[email protected]> wrote:
> Hi Edward,
>
> I managed to find some literature data that are probably suitable. I will
> get them from the authors in a week or so.
> So that probably solves point 3).
>
> I agree that the infrastructure needs to be revised for MQ data. This might
> in fact be the opportunity to re-think the structure. One might want to
> jointly fit all kinds of data, e.g. SQ+MQ, or CPMG+R1rho. You should also
> think of the possibility of adding in the future EXSY data. In the slow to
> intermediate exchange, one might have EXSY + CPMG to be fit together.
> If relax would be designed now in a way that is sufficiently flexible to
> handle all this, it would be great.
>
> We will have a look at the code that Mathilde and Dominique have
> implemented; this might also take a few days.
>
> best -
>
>
> Paul
>
>
> On 04.09.13 16:47, Edward d'Auvergne wrote:
>>
>> The following are reference development notes for how to modify relax
>> to handle multi-quantum (MQ) data.  Currently relax supports
>> single-quantum (SQ) data but not MQ data.  There are three aspects to
>> this problem, detailed below.  Note that the changes for part 2) will
>> likely break the code of the relax_disp branch for a short time.
>>
>>
>> 1)  The MQ models.
>>
>> Firstly the specific MQ model(s) must be added to relax (following the
>> steps at
>> http://wiki.nmr-relax.com/Tutorial_for_adding_relaxation_dispersion_models_to_relax).
>>   This part is relatively trivial, especially if the code already
>> exists, a published reference exists, and equations can be copied from
>> a paper directly into the relax manual.  For example the 'MQ CR72'
>> model supported by GUARDD (http://dx.doi.org/10.1021/ja049968b).
>>
>>
>> 2) Infrastructure changes.
>>
>> There is one infrastructure change required to support this.  The
>> reason is because most people with MQ data will want to analyse it
>> simultaneously with SQ data (well, that is my guess from the
>> literature data).  Support for optimising both SQ and MQ data
>> simultaneously needs to be added.  Currently relax only handles one
>> type of dispersion data per data pipe.  This should not be too hard to
>> change.  Such a change could allow CPMG-type and R1rho-type data to be
>> analysed simultaneously as well.  In each individual data combination
>> case, a specific combined model such as 'SQ+MQ CR72' would need to be
>> created.  This model would be independent of the 'CR72' and 'MQ CR72'
>> models, and the user will have to explicitly select it.
>>
>> The only change from the perspective of the user would the
>> relax_disp.exp_type user function.  This user function currently sets
>> the experiment type for all data in the current data pipe.  This needs
>> to be changed to be similar to the relax_disp.cpmg_frq,
>> relax_disp.relax_time, relax_disp.spin_lock_field, etc user functions,
>> where the experiment type is associated with a spectrum ID.  The GUI
>> would be changed so that this user function is not presented when
>> setting up a new analysis, but rather when the peak lists are being
>> loaded.  The GUI element displaying the experiment type would need to
>> be removed and the data presented in the peak list GUI element
>> instead.
>>
>> The backend changes would be more extensive.  The following generator
>> functions would need to be added to
>> specific_analyses.relax_disp.disp_data:
>>
>> loop_exp() - for new usages.
>> loop_exp_frq() - to replace calls to loop_frq().
>> loop_exp_frq_point() - to replace calls to loop_frq_point().
>> loop_exp_frq_point_time() - to replace calls to loop_frq_point_time().
>>
>> The the code in specific_analyses.relax_disp and
>> target_functions.relax_disp need to be modified around this new
>> concept.  I.e. a new top level looping needs to be inserted.  The
>> looping hierarchy from highest level to lowest would become:
>> experiment type, magnetic field strength, dispersion point (CPMG
>> frequency or spin-lock field strength), and finally relaxation time.
>> The only difference to now is the highest level experiment type
>> looping.
>>
>> The cdp.exp_type data structure will need to be converted into a
>> dictionary where the keys are the spectrum IDs.
>>
>>
>> 3) Test data.
>>
>> More of an issue is data!  Test data is essential to be sure that the
>> code is functional.  And in relax it needs to be incorporated into a
>> system test.  The most important point is that the data needs to be
>> independent of relax - the same code for fitting cannot be used to
>> generate synthetic data.  The more independence between relax and this
>> test data, the better.
>>
>> Literature data for MQ data appears not to be available.  It looks
>> like corresponding authors would need to be emailed for access to the
>> base data and numerical results.  An alternative is provided by the
>> Matlab software GUARDD.  It has a module for simulating dispersion
>> data
>> (http://code.google.com/p/guardd/#Optimization_and_education_with_RD_Simulator).
>>   This could be used to generate the test data to be included with
>> relax.  Some test data is also provided by the program.  This could
>> also be used, but it suffers from the fact that the real parameter
>> values are not known.  But it can be used to directly compare relax
>> and GUARDD.
>>
>> Regards,
>>
>> Edawrd
>>
>
>
> --
> Paul Schanda, Ph.D.
> Biomolecular NMR group
> Institut de Biologie Structurale Jean-Pierre Ebel (IBS)
> 41, rue Jules Horowitz
> F-38027 Grenoble
> France
> +33 438 78 95 55
> [email protected]
> http://www.ibs.fr/groups/biomolecular-nmr-spectroscopy?lang=en
>

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