relax_disp.relax_time(spectrum_id=id, time=relax_time)
-> This is used for the initial R2eff calculation, for exponential
curve fitting.
# Set the NMR field strength of the spectrum.
spectrometer.frequency(id=id, frq=H_frq)
-> This is used for conversion between nucleus, etc.
# Load the R1 data.
relax_data.read(ri_id='500MHz', ri_type='R1', frq=500e6,
file='R1_500MHz.out', dir=DATA_PATH, mol_name_col=1, res_num_col=2,
res_name_col=3, spin_num_col=4, spin_name_col=5, data_col=6,
error_col=7)
-> R1 needs to be loaded. This is because that R1 is part of the
equations. :-) The next release of relax, will implement feature where
R1 is fitted.
Note, that fitting introduces another variable in the equations.
# Read the chemical shift data.
chemical_shift.read(file='ref_500MHz.list', dir=DATA_PATH)
-> This is needed to get the ppm position of the nucleus.
-> See now: http://www.nmr-relax.com/manual/Dispersion_model_summary.html
-> The "average resonance in the rotating frame" Omega(bar) = w_(bar) -
w_rf."
-> Here w_bar is the chemical shift, and w_rf is the offset.
-> Let is review figure Fig1_Palmer_Massi_2006.png
-> This is the S_z axis.
That should be it.
If you have any questions, please don't hesitate to write again.
If you need more help, consider writing a support request on the
homepage tracker.
- https://gna.org/support/?group=relax
Add following information:
# Please attach a system info file
relax -i -t relax_i.txt
# Please write up, which buttons you pushed, or attach your script.
# Consider adding your data in "sample" format. Meaning that you
delete all confidential information from the files, and only have 1-2
residues left for testing.
If you write such a support request, it it easier to share script files, and
help other users.
The benefits from such a support request is:
- The information is available to all users, which can benefit
others in same situation.
- The information can be tracked back.
- The relax manual can be expanded, to help future users in same
situation.
Good luck!
Best
Troels Emtekær Linnet
PhD student
Copenhagen University
SBiNLab, 3-0-41
Ole Maaloes Vej 5
2200 Copenhagen N
Tlf: +45 353-22083
Lync Tlf: +45 353-30195