Hi Edward,

On 05.06.2012, at 15:48, Edward d'Auvergne wrote:
> Reading my thesis
> (http://www.amazon.com/Protein-Dynamics-Model-free-Analysis-Relaxation/dp/3639057627)
> might be easier :P

I have to admit, I underestimated the amount of math knowledge which is needed 
to understand (and trouble-shoot) model-free analysis. For a humble biologist 
like me, it's quite overwhelming. But that makes it interesting, too. :)

>>> Now that I looked more carefully at
>>> the results file, I can see the exact problem.  I would recommend
>>> multiplying your proton frequencies by 1e6, as they should be in Hz ;)
>> 
>> Great news! :D Thank you so much for the hint. I'll start relax once more 
>> with correct frequency values.
> 
> You should see something quite different!

Now it worked – somehow. Grace files, text files etc. with the results are now 
in the "final" directory. BUT: There was no diffusion model selected (-> just 
local T_m) which is implausible for such a small, well-defined globular protein 
domain like SH3. This is reflecting the results I got from TENSOR2 where any of 
the diffusion models would not get accepted, until I artificially doubled the 
experimental errors (which have been calculated by relax). 


Now I have a lot of relax results files in a lot of directories, but I don't 
know how to look at them, e.g. extract statistical parameters. Actually, I 
don't even know what to look after. 

***

The auto analysis works like a perfect black box: Put data of good quality in 
and a few days later the final results drop out. For systems like SH3 there 
should not be a problem at all! So where could be the obvious problem?

It's probably not the sample: it is stable for several years now, there is no 
oligomerisation (judging from R1/R2) or aggregation/precipitation to bee seen. 

It's unlikely it's the temperature: the methanol calibration at the 600 machine 
showed no differences between measurements, but the resulting data still gave 
no fitting models in TENSOR2. The consistency tests give no reason to doubt 
it'll be different at the 750 machine. Next week I'll hopefully know 
definitvely.

The pulse programs could have errors that are not obvious. Maybe we should 
compare ours to sequences from another lab where the pulse programs have proven 
to be good enough.

It may well be that the NMR structure (1aey, from 1997!) does not reflect 
reality well enough. At the moment relax is giving the crystal structure (1shg, 
even older) with artificially added protons (Amber), and I'm hoping that it'll 
yield different results. What do you think, what should be used: crystal 
strutures + added protons, NMR structures (averaged or single models from the 
ensembles)? 

If you have any ideas what could be wrong on our side, any advice would be very 
welcome. 

Cheers
Martin, exhausted

P.S.: I'm testing relax --multi mpi4py with a 12-core machine right now. Seems 
like it's working quite nicely!




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