Dear all,

I've a project with two historical datasets (i.e. not sure of when/if I can 
reproduce to solve problem by getting better data) that are twinned.


The spacegroup is P32, with operator -h, -k, l

cell = 83.5 83.5 64.2 90 90 120


protein has three domains d1-d2-d3, likely 50% solvent, 2 copies in asu


dataset 1, roughly 3.6 angstrom resolution, twin fraction 0.25

dataset 2, roughly 3.1 angstrom resolution, twin fraction 0.4


I've managed to solve this (unambiguously) by finding a d3:d3 dimer in 
detwinned data, then seeing via phenix autobuild that it finds a d2 also in 
map. At present the ability to interpret the map further stalls there, and it 
can't be "the limit" because lack of crystal contacts suggest there should be 
more protein to find.....


I realise I can go two ways, either using the detwinned data or using twinned 
data and supplying the operator.....the former giving ridiculously optimistic 
R-values with a suspiciously "clean map", the latter giving noisier but maybe 
more informative maps.


Two-fold averaging is not going to be great because the d2-d3 arrangement 
observed in monomer 1 clashes when placed over monomer 2 (so at present can 
only average the small % of ASU between d3 copies). Critically, looking for a 
second d2 using MR fails but the lack of crystal contacts suggests success 
should be possible....its really unlikely that a third entity is in there (d1 
and d2 are actually 50% similar, so by searching for d2 and failing, I'm 
actually missing three spots it could potentially occupy if the protein is not 
proteolysed)


Sorry for long email but the devil is in the details. My question would be, 
what is best practice in a low res poor twinned dataset where you can only fill 
roughly just over half of what should be in there?


Feel free to tell me its doomed!


Best wishes & thanks in advance

Andy

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