Hi,
I have a theoretical question about Model-Free analysis concerning the
minimum amount of data required...
In ModelFree, it is possible to obtain fitted parameters for residues
for which only one R1 and one R2 datasets are available (no NOE at all).
What do you think of this ? Can these residues be fitted reliably to
model 1 ? Or is this worthless to have data for only R1 and R2 and no NOE ?
Also, what happens when such data is input in relax ? Is the residue
rejected ? What happens if a residue as a full dataset at one field (R1,
R2 and NOE) and an incomplete dataset at another field (R1 and R2 only).
Will the 5 measured information be used or will only the complete
dataset from the first field be used and the incompelte dataset rejected ?
Thanks !
Séb
--
Sebastien Morin
Etudiant au PhD en biochimie
Laboratoire de resonance magnetique nucleaire
Dr Stephane Gagne
CREFSIP (Universite Laval, Quebec, CANADA)
1-418-656-2131 #4530
R1 and R2 for MF analysis