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Tutorial for Relaxation dispersion analysis cpmg fixed time recorded on varian as fid interleaved

496 bytes added, 10:17, 28 August 2013

Or open the relax prompt (Ctrl+p) and write

for resiob in cdp.mol[0].res: print resiob.name, resiob.num, resiob.spin[0].model

== Select residues for clustering ==

Let us select residue based on a criterion that is the same model which are fit.

resi_models = []

for resiob in cdp.mol[0].res: resi_models.append(resiob.spin[0].model)

print resi_models

# Count resi_models

dublicates = map(lambda val: (val, [i for i in xrange(len(resi_models)) if resi_models[i] == val]), resi_models)

for dub in dublicates: print dub[0], len(dub[1])

# We see that "NS 2-site expanded" is most represented

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= See also =

[[Category:Tutorials]]

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