I'm new to NMR relaxation and was hoping you could just clarify
something for a newbie.
In the comments contained in the full_analysis.py script it is stated
"It is important that the number of parameters in a model does not
exceed the number of relaxation data sets for that residue..."
I've taken this to mean that if I have only 3 sets of relaxation data
for each residue (R1,R2 and noe) that I should only optimise the models
local_tm and sphere before proceeding with the final run as the other
diffusion models have more than 3 parameters. Have I misunderstood this?
Many thanks
Clare
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full_analysis.py