Hi all,
I recently ran a classification job (e2spt_refinemulti_new) for my dataset. One of the classes has the membrane-bound ribosome and another weaker membrane-bound density. I would like to further refine this class without losing this weaker density – because the ribosome and the membrane have a much higher signal-to-noise ratio, I think they dominate the alignment, so the weaker density disappears over the course of the run. Does anyone have any advice on how to preserve this weak density in the downstream refinement runs?
My e2spt_refine_new job is set up as follows:
e2spt_refine_new --ptcls=sptcls_01/aliptcls3d_10_00.lst --ref=sptcls_00/threed_10_00.lst --startres=25.0 --loadali3d --goldstandard –sym=c1 --iters=p,t,t,p,t –keep=0.9,0.5,0.5 --mask=masks/cylinder.mrc --localrefine --parallel=mpi:64:/scratch/beagle3/mgrollins --threads=64 --m3dthread
Would it help to include --maxang to define a maximum angle difference for the localrefine parameter? Or would it be better to change my masking strategy? I tried using --maskalign with a spherical mask around the weaker density and some neighboring components that are a bit stronger, but it didn’t seem to help.
Thanks,
Madeline
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