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 _______________________________________________ relax (http://nmr-relax.com) This is the relax-users mailing list [email protected] To unsubscribe from this list, get a password reminder, or change your subscription options, visit the list information page at https://mail.gna.org/listinfo/relax-users
