Changes

In summary:

* b) Optimise all of the model-free models from m0 to m9. This requires high precision optimisation, for a comparison of all the softwares see the d'Auvergne and Gooley, 2008a model-free optimisation paper at http://dx.doi.org/10.1007/s10858-007-9214-2. Only relax and Dasha implement the full range of model-free models, though the models m6, m7, and m8 cannot be used if only single field strength data is used (m6 is the original 2-time scale motion model of Clore et al., 1990).

Finally, you will probably find it much easier to spend the 7-8 days collecting data at another field strength than to implement the protocol of steps a-i in a relax, Modelfree4, or Dasha script (or via multiple iterations of the GUI programs), as well as study all of the relevant literature to understand all of the types of failures than only occurs with single field strength data. With multiple field strength data you can perform [https://gna.org/users/semor Sebastien Morin's] consistency testing analysis in relax (http://dx.doi.org/10.1007/s10858-009-9381-4 and http://www.nmr-relax.com/manual/Consistency_testing.html). That way you can see if your per-experiment temperature calibration and

per-experiment temperature control techniques have works sufficiently well (http://www.nmr-relax.com/manual/Temperature_control_calibration.html) and if you have used long enough recycle delays. Collecting data at a second field would probably save you significant amounts of time, and has the additional benefit that it would guarantee that the dynamics you see at the end will be real. I cannot emphasize enough how important it is to collect data at multiple fields, most importantly the NOE and R2 data.