Hi,

You're welcome.  As for changing the
auto_analyses/dauvergne_protocol.py file, this will have the desired
effect.  It is quite easy to modify such a protocol, however the
validity of any changes would need to be thoroughly tested.  In this
case, as I said in the last mail, there are fundamental theoretical
problems with this change
(http://marc.info/?l=relax-users&m=135522152004674).  Also if the
protocol is changed, it should then be labelled as a new protocol.

Regards,

Edward



On 11 December 2012 13:05, Romel Bobby <[email protected]> wrote:
> Hi Edward,
>
> Thank you for your quick response and pointing me into the right direction.
> Indeed, I'll need to have a closer look at the second of the Lipari and
> Szabo paper.
> And also, I'll to follow your suggestion and implement synthetic data into
> relax to see what I get.
>
> With respect to the AICc model selection technique, after reading your
> response, I'm not sure if I've done the right thing. I believe I used the
> AICc method to select the best model-free model at the end of each round for
> the individual four diffusion tensors (and the local_tm). Either way, I'll
> rerun the model-free analysis without fiddling the code this time.
> But to answer your question, in the auto_analyses/dauvergne_protocol.py file
> (at line 763), I changed the line from:
>
> self.interpreter.model_selection(method='AIC', modsel_pipe=modsel_pipe,
> bundle=self.pipe_bundle, pipes=self.pipes)
>
> to:
>
> self.interpreter.model_selection(method='AICc', modsel_pipe=modsel_pipe,
> bundle=self.pipe_bundle, pipes=self.pipes)
>
> Cheers,
>
> Romel
>
>
> On 11 December 2012 23:24, Edward d'Auvergne <[email protected]> wrote:
>>
>> Hi Romel,
>>
>> The nanosecond motions you are seeing are interesting.  Whether or not
>> they are real is a valid question.  However like most NMR
>> spectroscopists, you are completely wrong in your assumption ;)  You
>> just need to carefully read the second of the Lipari and Szabo papers,
>> something many people do not do, wherein they check the validity of
>> internal motions slower than the global tumbling of the molecule.
>>
>> You can also perform your own tests by setting up synthetic models in
>> relax - just load a PDB file, set a diffusion tensor to the values you
>> like, set the internal model-free parameters, and then back calculate
>> the relaxation data.  Then perform a simple single model model-free
>> fit and see what happens.  I.e. what they do in the second Lipari and
>> Szabo paper (well, without relax).  You will see that with no
>> experimental noise, you can easily extract internal motions slower
>> than the global correlation time.  Think of it as follows:  After one
>> time period of the global tumbling tau_m, the exponential total
>> correlation function has not hit zero!  It takes a few periods of
>> tau_m before statistical zero is reached.  Therefore other exponential
>> functions can be present in the auto-correlation function.  In the
>> case of ellipsoidal diffusion, there are 5 exponential functions mixed
>> in together.  So why can, for example, the isotropic diffusion with a
>> single exponential not be mixed in with another exponential coming
>> from the internal motions rather than the global tumbling process?
>>
>> The answer, which is present in the original Lipari and Szabo papers,
>> is that it most definitely can.  The problem of parameter extraction
>> is experimental, not theoretical!  As soon as you add noise to the
>> synthetic relaxation data, it becomes harder and harder to extract the
>> slow internal motions reliably.  Monte Carlo simulations can show this
>> too.  Again this can be tested by adding white noise to the back
>> calculated relaxation data.  I highly recommend you perform these
>> tests yourself so that you get a good idea of what you can obtain - it
>> will help you understand your system better.  You can even use your
>> protein system for the synthetic data tests.  Note that if the two
>> correlation times are identical, you will have problems.  Just test
>> yourself and see what happens!  By learning from these tests, you will
>> be able to formulate much stronger conclusions from your experimental
>> results.
>>
>> As for your experimental data, another check would be to see if these
>> motions are present in the local tm models.  I think I discussed this
>> in my second 2008 paper
>> (http://www.nmr-relax.com/refs.html#dAuvergneGooley08b or
>> http://dx.doi.org/10.1007/s10858-007-9213-3).  You also have to
>> carefully think if a single diffusion tensor is valid for the entirety
>> of your system, an assumption which may not hold.
>>
>> One question I have though is how did you change the model selection
>> protocol in the dauvergne_protocol.py auto-analysis?  This is
>> hardcoded into relax, and the use of both AICc and BIC is invalid for
>> the searching of the universal solution (see
>> http://thread.gmane.org/gmane.science.nmr.relax.user/1356/focus=1357
>> and my 2007 paper at
>> http://www.nmr-relax.com/refs.html#dAuvergneGooley07 or
>> http://dx.doi.org/10.1039/b702202f).  You can only use model selection
>> techniques where the fundamental derivation is based on the
>> Kullback-Leibler discrepancy
>> (http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence) or
>> the Fisher information metric.  AIC and ICOMP model selection are
>> suitable, for example, but AICc and BIC are not as the first is a
>> deliberate divergence from the KL discrepancy and the second arises
>> from quite different Bayesian assumptions.  To use AICc or BIC, the
>> universal solution equation of my 2007 paper would need to be
>> reformulated to match the very different fundamental concepts behind
>> these techniques and the model-free protocol redesigned to fit.
>>
>> Regards,
>>
>> Edward
>>
>>
>> P. S.  Because of the number of bugfixes since relax 2.0.0, I would
>> recommend updating to relax 2.1.2
>> (http://marc.info/?l=relax-announce&m=135070664825024).
>>
>> On 11 December 2012 10:28, Romel Bobby <[email protected]> wrote:
>> > Dear Ed and relax users,
>> >
>> > I have recently used relax (ver 2.0.0) to obtain the model-free dynamics
>> > of
>> > a small protein with a molecular mass of 6 kDa. In fact, it's a protein
>> > in
>> > complex with a small peptide, but only the protein is 15N isotope
>> > labelled.
>> > R1, R2 experiments were recorded at 600, 800 and 900 MHz, and the
>> > steady-state NOE at 800 and 900 MHz. Temperature calibration was
>> > performed
>> > before running the experiments for all the fields.
>> >
>> > I used the fully automated analysis (dauvergne_protocol.py) and that
>> > went
>> > well. At the end of the run, the selected diffusion tensor had the form
>> > of
>> > an oblate spheroid with a global rotational correlation time of 3.2 ns.
>> >
>> > Now, I have observed that some residues display slow internal
>> > correlation
>> > times (ts) that are in the range of 1-4 ns. Considering the tm is only
>> > 3.2
>> > ns, this would mean, that motions slower than the overall tumbling were
>> > captured. However, my understanding is and please correct me if I'm
>> > wrong,
>> > that except for Rex contributions, relaxation measurements are
>> > insensitive
>> > to motions on a time scale equal to or slower than the overall tumbling.
>> > I'm a bit puzzled about the validity of these motions, that is to say,
>> > are
>> > they physically meaningful?
>> > Is it possible that some of the motional models were not adequately fit
>> > and
>> > poorly chosen? Also, I've used the AICc selection method to reduce the
>> > probability of overfitting.
>> >
>> > Cheers,
>> >
>> > Romel Bobby
>> > Biomolecular NMR Research Group
>> > School of Chemical Sciences/School of Biological Sciences
>> > The University of Auckland
>> > +64 (09) 3737599 Ext 83157
>> >
>> > _______________________________________________
>> > relax (http://www.nmr-relax.com)
>> >
>> > This is the relax-users mailing list
>> > [email protected]
>> >
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>> > reminder, or change your subscription options,
>> > visit the list information page at
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>> >
>
>
>
>
> --
> Romel Bobby
> Biomolecular NMR Research Group
> School of Chemical Sciences/School of Biological Sciences
> The University of Auckland
> +64 (09) 3737599 Ext 83157

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